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Come ship with us as we deploy robots faster than ever before possible. Ultra is hiring across engineering, manufacturing, and operations: — Senior Machine Learning Engineer — Application Engineer — Senior Mechatronics Engineer – R&D — Senior Mechatronics Engineer – Robot Platform — Supply Chain/Manufacturing Engineer — Robot Assembly... show more

Ultra

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50,094 次观看 • 2 个月前 •via X (Twitter)

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Sam Altman says he’s excited about a future where signing up for ChatGPT’s highest tier gets you a free humanoid robot. ⦿ The mechanical engineering and AI for humanoids are quite hard but feel within grasp. ⦿ Making a billion humanoid robots will take a while; maybe the first million humanoid robots, built the old-fashioned way, will automate the entire robotics supply chain to enable faster scale. ⦿ The demand for humanoids will be far more than what we can handle with current supply chains. ⦿ Things we've tried to bring manufacturing back to the US have failed. AI & robotics is a potential solution.

Sam Altman says he’s excited about a future where signing up for ChatGPT’s highest tier gets you a free humanoid robot. ⦿ The mechanical engineering and AI for humanoids are quite hard but feel within grasp. ⦿ Making a billion humanoid robots will take a while; maybe the first million humanoid robots, built the old-fashioned way, will automate the entire robotics supply chain to enable faster scale. ⦿ The demand for humanoids will be far more than what we can handle with current supply chains. ⦿ Things we've tried to bring manufacturing back to the US have failed. AI & robotics is a potential solution.

The Humanoid Hub

82,099 次观看 • 1 年前

.Amjad Masad : Creating software is going to be one of the most exciting areas. The average person will soon be as capable as what a senior software engineer is today, as we shift from doing the work to directing it. Instead of coding line by line, you’ll run multiple agents in parallel, building the frontend, refactoring the database, shipping features, all in the background. On top of that, you’ll have a clean interface to design and interact with AI more creatively. Software creation is moving from execution to orchestration, and soon, it won’t be a specialised skill, it’ll be the baseline.

.Amjad Masad : Creating software is going to be one of the most exciting areas. The average person will soon be as capable as what a senior software engineer is today, as we shift from doing the work to directing it. Instead of coding line by line, you’ll run multiple agents in parallel, building the frontend, refactoring the database, shipping features, all in the background. On top of that, you’ll have a clean interface to design and interact with AI more creatively. Software creation is moving from execution to orchestration, and soon, it won’t be a specialised skill, it’ll be the baseline.

Extraordinary

19,241 次观看 • 3 个月前

Most engineering jobs teach you to manage things. We're hiring people who want to build them. At Naxatra Labs, we're 5 years deep into building India's electric motors from scratch. Not sourcing. Not assembling. Designing, testing, and manufacturing - inhouse. It's not glamorous every day. It's noisy. It's hands-on. Sometimes things break. That's the point. If you're an engineer who's spent more time in meetings than in the lab — this is your way out. We're looking for engineers, interns, R&D associates, and marketing associates who want to work on things that actually matter: motors for EVs, agriculture, and industry. Small team. Real problems. No bureaucracy. 📧 careers@naxatralabs.com #NaxatraLabs #WeAreHiring #DeepTech #MadeInIndia

Most engineering jobs teach you to manage things. We're hiring people who want to build them. At Naxatra Labs, we're 5 years deep into building India's electric motors from scratch. Not sourcing. Not assembling. Designing, testing, and manufacturing - inhouse. It's not glamorous every day. It's noisy. It's hands-on. Sometimes things break. That's the point. If you're an engineer who's spent more time in meetings than in the lab — this is your way out. We're looking for engineers, interns, R&D associates, and marketing associates who want to work on things that actually matter: motors for EVs, agriculture, and industry. Small team. Real problems. No bureaucracy. 📧 [email protected] #NaxatraLabs #WeAreHiring #DeepTech #MadeInIndia

Abhilash

15,763 次观看 • 3 个月前

🤝 Join QANplatform as Senior Developer Relations Engineer (DevRel) We're hiring a Developer Relations Engineer who speaks fluent code, content, and community. Ready to shape the future of Web3? At QANplatform, we're building the quantum-resistant hybrid blockchain designed for the next generation of secure, scalable applications, putting developers first with multi-language smart contract support and built-in developer royalty fees. 👀 We’re looking for someone who can help developers: - Discover and understand our platform - Adopt our tools and SDKs - Build incredible, world-changing projects on QANplatform 🖥️ What you’ll do As a Senior Developer Relations Engineer, you’ll be the bridge between our engineering team and the wider developer ecosystem. You will: - Translate complex technology into actionable insights - Champion developer needs within the organization - Build meaningful relationships with the community - Write sample code, tutorials, and blogs - Run hackathons, deliver workshops, and host live SDK demos - Be the voice of developers internally — and our public voice to the community externally 🦄 Why this role is different This isn’t a traditional DevRel position. You’ll move fluidly between: - Writing and reviewing code - Creating technical and educational content - Engaging developers through events, demos, and collaboration Ready to make an impact? If you’re excited about bridging the gap between developers and next-generation blockchain technology, we’d love to hear from you. Apply now and let’s build something extraordinary together. Fill in this form to apply:

🤝 Join QANplatform as Senior Developer Relations Engineer (DevRel) We're hiring a Developer Relations Engineer who speaks fluent code, content, and community. Ready to shape the future of Web3? At QANplatform, we're building the quantum-resistant hybrid blockchain designed for the next generation of secure, scalable applications, putting developers first with multi-language smart contract support and built-in developer royalty fees. 👀 We’re looking for someone who can help developers: - Discover and understand our platform - Adopt our tools and SDKs - Build incredible, world-changing projects on QANplatform 🖥️ What you’ll do As a Senior Developer Relations Engineer, you’ll be the bridge between our engineering team and the wider developer ecosystem. You will: - Translate complex technology into actionable insights - Champion developer needs within the organization - Build meaningful relationships with the community - Write sample code, tutorials, and blogs - Run hackathons, deliver workshops, and host live SDK demos - Be the voice of developers internally — and our public voice to the community externally 🦄 Why this role is different This isn’t a traditional DevRel position. You’ll move fluidly between: - Writing and reviewing code - Creating technical and educational content - Engaging developers through events, demos, and collaboration Ready to make an impact? If you’re excited about bridging the gap between developers and next-generation blockchain technology, we’d love to hear from you. Apply now and let’s build something extraordinary together. Fill in this form to apply:

QANplatform

10,740 次观看 • 8 个月前

In a recent interview, Jensen Huang, the CEO of NVIDIA, pointed out that China has three unique advantages in developing robots, and his insights have drawn widespread attention in the tech world. First, China has outstanding AI technology. With a large number of excellent AI researchers and continuous innovation, China has made remarkable achievements in AI algorithms, machine learning, and other aspects. These advancements lay a solid foundation for the intelligent development of robots. Second, China excels in mechatronics. The combination of mechanical and electrical technologies allows Chinese - made robots to have better physical performance, more precise movement control, and higher reliability, making them more competitive in the global market. Last but not least, China's huge manufacturing base provides broad application scenarios for robots. From large - scale industrial production lines to various service industries, robots can be widely deployed, which promotes the continuous improvement of robot technology through large - scale practical applications. With these three powerful advantages, China is set to play a leading role in the global robotics field. It's exciting to look forward to the brilliant future of China's robotics development. 新浪科技 #Robotics #NVIDIA #JensenHuang #AI #ArtificialIntelligence

In a recent interview, Jensen Huang, the CEO of NVIDIA, pointed out that China has three unique advantages in developing robots, and his insights have drawn widespread attention in the tech world. First, China has outstanding AI technology. With a large number of excellent AI researchers and continuous innovation, China has made remarkable achievements in AI algorithms, machine learning, and other aspects. These advancements lay a solid foundation for the intelligent development of robots. Second, China excels in mechatronics. The combination of mechanical and electrical technologies allows Chinese - made robots to have better physical performance, more precise movement control, and higher reliability, making them more competitive in the global market. Last but not least, China's huge manufacturing base provides broad application scenarios for robots. From large - scale industrial production lines to various service industries, robots can be widely deployed, which promotes the continuous improvement of robot technology through large - scale practical applications. With these three powerful advantages, China is set to play a leading role in the global robotics field. It's exciting to look forward to the brilliant future of China's robotics development. 新浪科技 #Robotics #NVIDIA #JensenHuang #AI #ArtificialIntelligence

Zhang Heqing

11,384 次观看 • 11 个月前

People who've never set foot in a factory will never understand... I watched this three times. For decades, robotics simulation has promised faster deployment. But factories still had to build the real cell to see if it actually worked. Which meant expensive physical prototypes, weeks or months!!! of commissioning, constant surprises between simulation and reality That “sim-to-real gap” has quietly been one of the biggest bottlenecks in manufacturing automation. And it’s exactly what is changing. Today, ABB Robotics announced a partnership with NVIDIA Robotics aimed at closing this gap through the new RobotStudio HyperReality platform: Simulation and real robot behavior can match with near-perfect accuracy. That means manufacturers can design, test, and validate entire production lines before a single robot is installed on the factory floor. The implications are massive: • up to 80% faster setup and commissioning • roughly 40% lower costs by removing physical prototypes • about 50% faster time-to-market for new production lines In other words: Factories can move from trial-and-error engineering to software-driven manufacturing design. Production lines become something you build and validate digitally first. Then deploy physically once everything already works. For an industry that still measures deployment timelines in months or years, this is a major shift. It changes how automation projects are planned, how factories are designed, and how fast manufacturing can adapt to new products. Physical AI actually becomes deployable at an industrial scale. I’ll be at GTC in San Jose next week to see and talk to manufacturers and robotics engineers. If you are into manufacturing like I am, hit me up; my DMs are open!

People who've never set foot in a factory will never understand... I watched this three times. For decades, robotics simulation has promised faster deployment. But factories still had to build the real cell to see if it actually worked. Which meant expensive physical prototypes, weeks or months!!! of commissioning, constant surprises between simulation and reality That “sim-to-real gap” has quietly been one of the biggest bottlenecks in manufacturing automation. And it’s exactly what is changing. Today, ABB Robotics announced a partnership with NVIDIA Robotics aimed at closing this gap through the new RobotStudio HyperReality platform: Simulation and real robot behavior can match with near-perfect accuracy. That means manufacturers can design, test, and validate entire production lines before a single robot is installed on the factory floor. The implications are massive: • up to 80% faster setup and commissioning • roughly 40% lower costs by removing physical prototypes • about 50% faster time-to-market for new production lines In other words: Factories can move from trial-and-error engineering to software-driven manufacturing design. Production lines become something you build and validate digitally first. Then deploy physically once everything already works. For an industry that still measures deployment timelines in months or years, this is a major shift. It changes how automation projects are planned, how factories are designed, and how fast manufacturing can adapt to new products. Physical AI actually becomes deployable at an industrial scale. I’ll be at GTC in San Jose next week to see and talk to manufacturers and robotics engineers. If you are into manufacturing like I am, hit me up; my DMs are open!

Ilir Aliu

68,927 次观看 • 4 个月前

Uber CEO Dara Khosrowshahi just described the exact moment companies stop hiring engineers. It’s closer than anyone wants to admit. Khosrowshahi: “About 90% of our coders are using AI.” But that’s not the number that matters. 30% of those engineers have become power users. And what’s happening to their output has no historical precedent. Khosrowshahi: “They are showing a clear differentiation in the number of diffs.” A diff is a code release. The purest measure of engineering productivity. Khosrowshahi: “It’s changing their productivity in a way that I’ve never, ever seen before.” Right now, the math still favors hiring. If an average engineer becomes 25% more efficient, Uber hires more engineers to go faster. But that equation has an expiration date. Khosrowshahi: “Maybe 5 years from now as the engineers get more and more productive, I may not decide to add engineering headcount.” The tipping point isn’t when AI replaces engineers. It’s when adding an AI agent and buying GPUs produces more output per dollar than hiring a human. Khosrowshahi: “At that point instead of adding an engineer, I should add agents and buy some more GPUs from Nvidia.” When the CEO of a company built entirely on software says that out loud, it’s not a prediction. It’s a planning assumption. Khosrowshahi: “The job of a coder is going to change from actually writing the code to orchestrating agents who are writing the code.” Not writing. Orchestrating. The engineer becomes the conductor. The AI becomes the orchestra. The most valuable asset in a tech company is officially shifting from human capital to pure compute. And once that math flips, it doesn’t flip back.

Uber CEO Dara Khosrowshahi just described the exact moment companies stop hiring engineers. It’s closer than anyone wants to admit. Khosrowshahi: “About 90% of our coders are using AI.” But that’s not the number that matters. 30% of those engineers have become power users. And what’s happening to their output has no historical precedent. Khosrowshahi: “They are showing a clear differentiation in the number of diffs.” A diff is a code release. The purest measure of engineering productivity. Khosrowshahi: “It’s changing their productivity in a way that I’ve never, ever seen before.” Right now, the math still favors hiring. If an average engineer becomes 25% more efficient, Uber hires more engineers to go faster. But that equation has an expiration date. Khosrowshahi: “Maybe 5 years from now as the engineers get more and more productive, I may not decide to add engineering headcount.” The tipping point isn’t when AI replaces engineers. It’s when adding an AI agent and buying GPUs produces more output per dollar than hiring a human. Khosrowshahi: “At that point instead of adding an engineer, I should add agents and buy some more GPUs from Nvidia.” When the CEO of a company built entirely on software says that out loud, it’s not a prediction. It’s a planning assumption. Khosrowshahi: “The job of a coder is going to change from actually writing the code to orchestrating agents who are writing the code.” Not writing. Orchestrating. The engineer becomes the conductor. The AI becomes the orchestra. The most valuable asset in a tech company is officially shifting from human capital to pure compute. And once that math flips, it doesn’t flip back.

Dustin

420,166 次观看 • 4 个月前

MUST SEE: Mark Lenzi, a senior US Security Engineer who was tasked with defending US Embassies against electronic spying, says US Embassies on the front lines with Russia are at “High Risk” for Directed Energy attacks. Lenzi says there have been multiple “incidents” that the US public does not know about and that have not been publicly reported dating back to before 2016. When Lenzi first reported “concerning” energy readings to his superiors, he said he was told to alter his report. “My job as a Security Engineering Officer is to take data, and send that back to Washington to determine if it [US Embassy] was under attack or not…I was told take that data out we don’t want to deal with that.” A senior state official said “the Department cannot comment on the particulars,” and remains “committed to protecting whistleblowers, aggressively investigating allegations of misconduct...”

MUST SEE: Mark Lenzi, a senior US Security Engineer who was tasked with defending US Embassies against electronic spying, says US Embassies on the front lines with Russia are at “High Risk” for Directed Energy attacks. Lenzi says there have been multiple “incidents” that the US public does not know about and that have not been publicly reported dating back to before 2016. When Lenzi first reported “concerning” energy readings to his superiors, he said he was told to alter his report. “My job as a Security Engineering Officer is to take data, and send that back to Washington to determine if it [US Embassy] was under attack or not…I was told take that data out we don’t want to deal with that.” A senior state official said “the Department cannot comment on the particulars,” and remains “committed to protecting whistleblowers, aggressively investigating allegations of misconduct...”

Catherine Herridge

241,558 次观看 • 1 年前

Jensen Huang just validated Elon Musk’s entire ecosystem in a single breath. Not one product. All of it. Huang: “The work he’s doing in Grok, self-driving cars, and Optimus. These are all world-class. Every single one of them is revolutionary. Every single one of them is going to be a gigantic opportunity.” To the public, a chatbot, a car, and a robot look like three separate bets. They are one project. The total automation of human cognition and physical labor. A digital brain. A spatial nervous system. A physical body. Musk is building all three simultaneously. Huang is supplying the compute to fuse them. Huang: “We do a lot of business with Tesla and xAI. Elon is an extraordinary engineer, and I love working with him. We’ve built some amazing computers together, and we’re going to build many more.” This is not a vendor relationship. It is the most consequential technological alliance in history and most people think it is a business partnership. Then Huang said what should end every debate about Optimus. Huang: “This is the first robot that really has a chance to achieve the high volume and technology scale necessary to advance technology.” Huang: “Right around the corner. Likely to be the next multi-trillion dollar industry.” The humanoid robot race will not be won in a research lab. It will be won on the manufacturing floor. Every other robotics company on earth can build a robot. Tesla can flood the planet with them. Because Tesla already knows how to stamp metal, build batteries, and deploy autonomous inference at global scale. The rest of the industry has prototypes. Tesla has the most sophisticated manufacturing operation on earth. When the world’s leading chipmaker calls your robot the next multi-trillion dollar industry, the debate is over. One supplies the chips. One builds everything the chips make possible. When that infrastructure scales across Grok, FSD, and Optimus simultaneously, the question stops being whether this changes everything. It becomes how fast.

Jensen Huang just validated Elon Musk’s entire ecosystem in a single breath. Not one product. All of it. Huang: “The work he’s doing in Grok, self-driving cars, and Optimus. These are all world-class. Every single one of them is revolutionary. Every single one of them is going to be a gigantic opportunity.” To the public, a chatbot, a car, and a robot look like three separate bets. They are one project. The total automation of human cognition and physical labor. A digital brain. A spatial nervous system. A physical body. Musk is building all three simultaneously. Huang is supplying the compute to fuse them. Huang: “We do a lot of business with Tesla and xAI. Elon is an extraordinary engineer, and I love working with him. We’ve built some amazing computers together, and we’re going to build many more.” This is not a vendor relationship. It is the most consequential technological alliance in history and most people think it is a business partnership. Then Huang said what should end every debate about Optimus. Huang: “This is the first robot that really has a chance to achieve the high volume and technology scale necessary to advance technology.” Huang: “Right around the corner. Likely to be the next multi-trillion dollar industry.” The humanoid robot race will not be won in a research lab. It will be won on the manufacturing floor. Every other robotics company on earth can build a robot. Tesla can flood the planet with them. Because Tesla already knows how to stamp metal, build batteries, and deploy autonomous inference at global scale. The rest of the industry has prototypes. Tesla has the most sophisticated manufacturing operation on earth. When the world’s leading chipmaker calls your robot the next multi-trillion dollar industry, the debate is over. One supplies the chips. One builds everything the chips make possible. When that infrastructure scales across Grok, FSD, and Optimus simultaneously, the question stops being whether this changes everything. It becomes how fast.

Dustin

66,374 次观看 • 4 个月前

Humans are cooked. 😳 China just hosted the world's first robot-led gala show, 60 minutes of humanoid robots performing live on stage. Not a tech demo. Not a 30-second clip from a lab. A full entertainment show during the Chinese Spring Festival with 12 performances including dance, magic, comedy, martial arts, and a fashion runway. The robots did backflips. Let me say that again. The robots. Did. Backflips. AGIBOT G2 humanoid robots and D1 quadruped robots performed in perfectly synchronized formations…. rapid turns, group choreography, runway walks.. transitioning seamlessly between segments for a full hour. But here's what actually blew my mind: In one segment, human dancers performed alongside the robots in coordinated routines. Real-time alignment between human movement and robotic motion. You couldn't tell who was leading. In another, quadruped robots dressed as pandas danced with children on stage. And in the corner? A sign-language translation robot was providing barrier-free access for hearing-impaired viewers. This wasn't entertainment. This was a statement. Some context most people are missing: AGIBOT shipped over 5,000 humanoid robots in 2025. They're ranked #1 globally in humanoid robot shipments. The company was founded by a former Huawei "Genius Youth" engineer just 3 years ago. Three. Years. Meanwhile, Boston Dynamics has been at it for 32 years and still doesn't have a consumer product on the market. China isn't just catching up in robotics. They're lapping us while doing backflips. And the craziest part? You can now rent these same robots for events through their platform, starting at 999 yuan. That's about $140. The future isn't coming. It's performing on stage, doing backflips, and it costs less than your Costco run. AGIBOT #AGIBOT NIGHT #RobotsHumanoides #ArtesMarcialesChinas

Humans are cooked. 😳 China just hosted the world's first robot-led gala show, 60 minutes of humanoid robots performing live on stage. Not a tech demo. Not a 30-second clip from a lab. A full entertainment show during the Chinese Spring Festival with 12 performances including dance, magic, comedy, martial arts, and a fashion runway. The robots did backflips. Let me say that again. The robots. Did. Backflips. AGIBOT G2 humanoid robots and D1 quadruped robots performed in perfectly synchronized formations…. rapid turns, group choreography, runway walks.. transitioning seamlessly between segments for a full hour. But here's what actually blew my mind: In one segment, human dancers performed alongside the robots in coordinated routines. Real-time alignment between human movement and robotic motion. You couldn't tell who was leading. In another, quadruped robots dressed as pandas danced with children on stage. And in the corner? A sign-language translation robot was providing barrier-free access for hearing-impaired viewers. This wasn't entertainment. This was a statement. Some context most people are missing: AGIBOT shipped over 5,000 humanoid robots in 2025. They're ranked #1 globally in humanoid robot shipments. The company was founded by a former Huawei "Genius Youth" engineer just 3 years ago. Three. Years. Meanwhile, Boston Dynamics has been at it for 32 years and still doesn't have a consumer product on the market. China isn't just catching up in robotics. They're lapping us while doing backflips. And the craziest part? You can now rent these same robots for events through their platform, starting at 999 yuan. That's about $140. The future isn't coming. It's performing on stage, doing backflips, and it costs less than your Costco run. AGIBOT #AGIBOT NIGHT #RobotsHumanoides #ArtesMarcialesChinas

Shruti

104,721 次观看 • 5 个月前

Thank you for the recognition Paul Azunre WE 3Farmate SPENT YEARS BUILDING A MACHINE THAT CAN REVOLUTIONIZE FARMING IN AFRICA AND BEYOND THROUGH ADVANCED AI and AUTOMATION THAT CAN WORK IN DIVERSE FARM ENVIRONMENTS, turning everyday tasks into seamless workflows while enabling produce growers to focus on what matters most. Beyond the mere automation of agriculture, our robot integrates several AI technologies to make farming intelligent, accurate, and productive but it seems a lot of people do not fully grasp what it takes to program a fully functioning agricultural robot, which is the first of its kind in the history of our country. It has taken us years to master the intricate and highly technical processes of teaching a robot how to see and understand its environment. Teaching a robot to spray a weed without touching a crop is not easy. It takes pixel-level precision and a staggering, painstaking number of years of complex annotation to get it right. We have failed many more times trying to get it right than we have trying to convince people that, with the right funding, we cannot just build farm machines but also have the capacity to engineer advanced technologies that can be applied across multiple industries. Come to think of it—how many industrial machines are we manufacturing locally and producing for export? With the engineering of our farm robot (FAMA), which is market-ready for deployment on farmlands, we are demonstrating that Ghanaian engineers have what it takes to transform our industry and make Africa a competitive, self-sustaining hub of innovation and manufacturing. There is no country that has truly developed in its fullest sense without a strong foundation in engineering. We are leveraging computer vision, edge computing, and real-time data processing to drive sustainable farming. A lot of people who sat on the sidelines of our history, waiting to see how young people like us would push our brand visibility, have done themselves a great disservice. Those who reposted, liked, and shared our content have helped amplify our story and have contributed to shaping the future of agriculture through AI. THANK YOU GHANA THANK YOU AFRICA GHANAIANS DID IT. AS AN AFRICAN, YOU CAN ALSO DO IT. We thank everyone who has truly supported us in bringing what we have achieved to the public. Thank you for believing in US. “The future is here.” 🇬🇭 🇬🇭 🇬🇭

MARK OFORIQUAYE

30,137 次观看 • 3 个月前

China unveils humanoid robot worker with brain that runs 275 trillion ops/sec | Jijo Malayil, Interesting Engineering In tests, SUYUAN used vision and joint control to sort and move crates of various sizes, greatly improving warehouse productivity. Chinese manufacturing firm Shanghai Electric has unveiled its first self-developed industrial humanoid robot, “SUYUAN,” marking a major milestone in its robotics journey. Debuting at the World Artificial Intelligence Conference (WAIC 2025) on July 26 in Shanghai, SUYUAN boasts 38 degrees of freedom and 275 TOPS of on-device computing power, enabling precise operations and fluid movements. According to the firm, designed for diverse industrial use, the robot showcases Shanghai Electric’s end-to-end capabilities—from core tech to integrated solutions—and reinforces its commitment to next-gen industrial automation through a full industry chain strategy. At WAIC 2025, Shanghai Electric also unveiled a new joint venture with Johnson Electric for next-gen humanoid robotics and showcased its “LINGKE” dual-arm robot. Recently, Hangzhou-based Unitree Robotics launched the R1 humanoid with 26 joints for $5,900, showcasing athletic feats like cartwheels, running, and quick recovery. Smart factory assistant Shanghai Electric claims SUYUAN, equipped with 38 degrees of freedom (DoF) and a powerful 275 TOPS on-device computing processor, delivers fluid, human-like movements and high-precision operations across various industrial scenarios. Its advanced articulation and real-time processing capabilities make it highly adaptable, enabling smooth execution of complex tasks in dynamic work environments. SUYUAN, who weighs 110 pounds (50 kilograms) and is 5 feet 6 inches (167 cm) tall, was designed to have human-like proportions. Its 38-DoF articulation offers dexterity, allowing for both wide-range motion and sensitive manipulation. With a single arm, the robot can lift objects up to 4.4 pounds (2 kilograms) in weight and carry a total payload of up to 22 pounds (10 kilograms). With a walking pace of 3.1 miles per hour (5 km/h), SUYUAN is ideal for environments including assembly lines, warehousing, and logistics, according to a statement. To navigate complex industrial settings, SUYUAN combines LiDAR and binocular vision for self-guided mobility. Its 275-TOPS AI processor enables rapid data analysis and integration with large language models, allowing it to understand tasks in natural language and handle objects adaptively, reports Fox 44 News. In pilot demonstrations, the robot successfully identified, picked, and relocated crates of varying sizes using advanced computer vision and coordinated joint control—delivering measurable gains in warehouse efficiency. The company claims that SUYUAN’s launch represents a major turning point in Shanghai Electric’s foray into humanoid robotics and strengthens its vertically integrated approach to industrial automation solutions. Intelligent task handling Shanghai Electric also demonstrated its most recent developments in intelligent manufacturing at WAIC 2025, introducing a new joint venture with Johnson Electric centered on next-generation humanoid robotics and showcasing the “LINGKE” dual-arm robot. With its high-precision operations, adaptive teamwork, and closed-loop data capabilities, the LINGKE robot demonstrated live talents in handling complicated production jobs. LINGKE is made to do more than just replace human labor; it uses compliant force control and bimanual coordination to relieve workers of high-intensity, repetitive jobs. According to the company, the robot enhances operational efficiency by up to five times. Its core strength lies in a Data-Model-Deployment closed-loop system that starts with operational data, followed by data cleansing, model training, live deployment, and feedback-driven optimization—enabling autonomous learning and workflow improvement. Also at the event, Shanghai Electric and Johnson Electric introduced advanced hardware modules for humanoid robots, including rotary joints, linear joints, and dexterous finger joints. These components are designed to support smooth, precise, and quiet motion performance across robotics systems, reports Stock Titan. The joint venture announced two strategic agreements: a first-unit supply deal with the National and Local Co-Built Humanoid Robotics Innovation Center (Qinglong Project) and a cooperation memorandum with Fourier Robotics. Read more:

China unveils humanoid robot worker with brain that runs 275 trillion ops/sec | Jijo Malayil, Interesting Engineering In tests, SUYUAN used vision and joint control to sort and move crates of various sizes, greatly improving warehouse productivity. Chinese manufacturing firm Shanghai Electric has unveiled its first self-developed industrial humanoid robot, “SUYUAN,” marking a major milestone in its robotics journey. Debuting at the World Artificial Intelligence Conference (WAIC 2025) on July 26 in Shanghai, SUYUAN boasts 38 degrees of freedom and 275 TOPS of on-device computing power, enabling precise operations and fluid movements. According to the firm, designed for diverse industrial use, the robot showcases Shanghai Electric’s end-to-end capabilities—from core tech to integrated solutions—and reinforces its commitment to next-gen industrial automation through a full industry chain strategy. At WAIC 2025, Shanghai Electric also unveiled a new joint venture with Johnson Electric for next-gen humanoid robotics and showcased its “LINGKE” dual-arm robot. Recently, Hangzhou-based Unitree Robotics launched the R1 humanoid with 26 joints for $5,900, showcasing athletic feats like cartwheels, running, and quick recovery. Smart factory assistant Shanghai Electric claims SUYUAN, equipped with 38 degrees of freedom (DoF) and a powerful 275 TOPS on-device computing processor, delivers fluid, human-like movements and high-precision operations across various industrial scenarios. Its advanced articulation and real-time processing capabilities make it highly adaptable, enabling smooth execution of complex tasks in dynamic work environments. SUYUAN, who weighs 110 pounds (50 kilograms) and is 5 feet 6 inches (167 cm) tall, was designed to have human-like proportions. Its 38-DoF articulation offers dexterity, allowing for both wide-range motion and sensitive manipulation. With a single arm, the robot can lift objects up to 4.4 pounds (2 kilograms) in weight and carry a total payload of up to 22 pounds (10 kilograms). With a walking pace of 3.1 miles per hour (5 km/h), SUYUAN is ideal for environments including assembly lines, warehousing, and logistics, according to a statement. To navigate complex industrial settings, SUYUAN combines LiDAR and binocular vision for self-guided mobility. Its 275-TOPS AI processor enables rapid data analysis and integration with large language models, allowing it to understand tasks in natural language and handle objects adaptively, reports Fox 44 News. In pilot demonstrations, the robot successfully identified, picked, and relocated crates of varying sizes using advanced computer vision and coordinated joint control—delivering measurable gains in warehouse efficiency. The company claims that SUYUAN’s launch represents a major turning point in Shanghai Electric’s foray into humanoid robotics and strengthens its vertically integrated approach to industrial automation solutions. Intelligent task handling Shanghai Electric also demonstrated its most recent developments in intelligent manufacturing at WAIC 2025, introducing a new joint venture with Johnson Electric centered on next-generation humanoid robotics and showcasing the “LINGKE” dual-arm robot. With its high-precision operations, adaptive teamwork, and closed-loop data capabilities, the LINGKE robot demonstrated live talents in handling complicated production jobs. LINGKE is made to do more than just replace human labor; it uses compliant force control and bimanual coordination to relieve workers of high-intensity, repetitive jobs. According to the company, the robot enhances operational efficiency by up to five times. Its core strength lies in a Data-Model-Deployment closed-loop system that starts with operational data, followed by data cleansing, model training, live deployment, and feedback-driven optimization—enabling autonomous learning and workflow improvement. Also at the event, Shanghai Electric and Johnson Electric introduced advanced hardware modules for humanoid robots, including rotary joints, linear joints, and dexterous finger joints. These components are designed to support smooth, precise, and quiet motion performance across robotics systems, reports Stock Titan. The joint venture announced two strategic agreements: a first-unit supply deal with the National and Local Co-Built Humanoid Robotics Innovation Center (Qinglong Project) and a cooperation memorandum with Fourier Robotics. Read more:

Owen Gregorian

51,638 次观看 • 11 个月前

Let's reverse engineer Disney's adorable, lifelike robot! I couldn't find a whitepaper, but this is how I think it's trained: 1. The emotional behaviors are curated by Disney animation artists, keyframe by keyframe. But it cannot be "rendered" directly on the robot because it doesn't take into account the complex real-world physics. 2. Reinforcement learning (RL) is a great tool for training low-level robot controllers. RL needs a reward function to optimize, and it's typically a task reward (e.g. walk in a straight line as fast as possible). The problem is that RL doesn't know what counts as "natural behavior", and often produces weird-looking body postures that somehow still maximize the reward. This is a human alignment problem just like ChatGPT. 3. Enters Adversarial Motion Prior (AMP): a technique that learns the human preference by training a classifier on what we consider "emotional & cute". In GAN literature, this is called a discriminator. Disney artists are good at creating such a dataset. You can then add AMP as an auxiliary reward in simulation to nudge the robot towards desired behaviors. AMP was developed by Peng et al. 2021 and Escontrela et al. 2022. 4. Add lots of data augmentation to make the controller robust to physical disturbances. In RL, it's called "domain randomization". This is a very powerful technique that bridges the gap between simulator and reality. Previously, OpenAI used domain randomization to train a 5-finger robot hand to manipulate a Rubik's Cube: IEEE news article gave hints about the pipeline: Finally, praying for world peace 🙏. I hope robotics like this will bring more joy to the world.

Let's reverse engineer Disney's adorable, lifelike robot! I couldn't find a whitepaper, but this is how I think it's trained: 1. The emotional behaviors are curated by Disney animation artists, keyframe by keyframe. But it cannot be "rendered" directly on the robot because it doesn't take into account the complex real-world physics. 2. Reinforcement learning (RL) is a great tool for training low-level robot controllers. RL needs a reward function to optimize, and it's typically a task reward (e.g. walk in a straight line as fast as possible). The problem is that RL doesn't know what counts as "natural behavior", and often produces weird-looking body postures that somehow still maximize the reward. This is a human alignment problem just like ChatGPT. 3. Enters Adversarial Motion Prior (AMP): a technique that learns the human preference by training a classifier on what we consider "emotional & cute". In GAN literature, this is called a discriminator. Disney artists are good at creating such a dataset. You can then add AMP as an auxiliary reward in simulation to nudge the robot towards desired behaviors. AMP was developed by Peng et al. 2021 and Escontrela et al. 2022. 4. Add lots of data augmentation to make the controller robust to physical disturbances. In RL, it's called "domain randomization". This is a very powerful technique that bridges the gap between simulator and reality. Previously, OpenAI used domain randomization to train a 5-finger robot hand to manipulate a Rubik's Cube: IEEE news article gave hints about the pipeline: Finally, praying for world peace 🙏. I hope robotics like this will bring more joy to the world.

Jim Fan

314,637 次观看 • 2 年前

Jensen on Elon Musk “Elon, as you know, is just an extraordinary engineer. And I love working with him. We’ve built some amazing computers together. We’re going to build many more computers together, and the work that he’s doing in Grok, his self-driving car, his Optimus—these are all world-class. Every single one of them. Revolutionary. Every single one of them are going to be gigantic opportunities. And we’re delighted. I’m delighted to be working with him on that. So I think the Optimus opportunity is just right around the corner. It’s very likely that humanoid robots are going to be robots that we can deploy into the world relatively easily. This is the first robot that really has a chance to achieve the high volume and technology scale necessary to advance technology. And so I think this is likely to be the next multi-trillion-dollar industry. I’m very excited for him”

Jensen on Elon Musk “Elon, as you know, is just an extraordinary engineer. And I love working with him. We’ve built some amazing computers together. We’re going to build many more computers together, and the work that he’s doing in Grok, his self-driving car, his Optimus—these are all world-class. Every single one of them. Revolutionary. Every single one of them are going to be gigantic opportunities. And we’re delighted. I’m delighted to be working with him on that. So I think the Optimus opportunity is just right around the corner. It’s very likely that humanoid robots are going to be robots that we can deploy into the world relatively easily. This is the first robot that really has a chance to achieve the high volume and technology scale necessary to advance technology. And so I think this is likely to be the next multi-trillion-dollar industry. I’m very excited for him”

Tesla Owners Silicon Valley

34,239 次观看 • 5 个月前

Video: World’s first humanoid robot labor that swaps its own batteries to work endlessly | Jijo Malayil, Interesting Engineering Walker S2 uses dual-battery balancing and standardized modules to boost efficiency and ensure uninterrupted, optimized performance. In a leap for robotics, China’s UBTech has unveiled the Walker S2, the world’s first humanoid robot capable of fully autonomous battery swapping. Designed for non-stop industrial operations, the Walker S2 can replace its own power pack in just three minutes—no human intervention required. Equipped with advanced anthropomorphic bipedal locomotion and a hot-swappable battery system, Walker S2 is built to operate 24/7 across dynamic industrial environments. According to UBTech, the next-generation humanoid robot marks a major milestone in automation, bringing continuous, hands-free performance to the factory floor. In May 2025, UBTech Robotics and Huawei Technologies inked a significant partnership to accelerate the adoption of humanoid robots across China’s factories and households. Uninterrupted robot operations A video posted by the robotics firm opens with the sleek UBTech Walker S2 humanoid robot working in an industrial setting. The highlight, however, is its autonomous battery swap. Walker S2 approaches the charging station, carefully detaches its depleted power pack, and seamlessly installs a fresh one—all within about three minutes—without any human assistance, according to CGTN. The camera captures close-ups of the robot’s articulated limbs and the intelligent battery-handling mechanism, conveying precision and reliability. As the swap completes, Walker S2 resumes its duties, reinforcing the promise of uninterrupted, 24/7 operations in dynamic factory environments. UBTech’s Walker S2 humanoid robot is equipped with advanced dual-battery power balancing technology and uses standardized battery modules to optimize performance, reports CNEVPOST. This dual-battery system allows the robot to automatically switch to a backup battery in case of a main battery failure, ensuring that critical tasks are carried out without interruption. In addition to battery swapping, the robot can intelligently choose between charging and swapping based on task urgency, allowing it to manage energy dynamically and adapt to real-time operational demands. UBTech highlights these features as a step forward in deploying humanoid robots for industrial and domestic applications, combining flexibility, reliability, and autonomy in one intelligent platform. Factory intelligence upgrade Earlier in the year, UBTech unveiled a major advancement in humanoid robot collaboration, claiming the world’s first deployment of multiple humanoids working together across varied industrial tasks. Demonstrated at Zeekr’s 5G-enabled smart factory, the breakthrough centers on UBTech’s “BrainNet” framework, which orchestrates cooperative behavior through a cloud-device intelligence system. BrainNet integrates a “super brain” for high-level decision-making with an “intelligent sub-brain” for distributed multi-robot control. The super brain, powered by a proprietary large-scale multimodal reasoning model, handles complex production-line scheduling and decision-making. Meanwhile, the sub-brain coordinates real-time tasks using cross-field perception and Transformer-based control for dynamic adaptability. Together, they enable the Walker S1 humanoid robots to move beyond isolated operations and perform coordinated tasks with high precision and speed. The system is built on DeepSeek-R1 reasoning technology and trained on real-world data from automotive factory settings. Leveraging Retrieval-Augmented Generation (RAG), the model adapts to specific job functions and improves scalability across workstations. At Zeekr’s facility, dozens of Walker S1s now collaborate on tasks like assembly, inspection, and part handling. Using semantic VSLAM and shared mapping, they coordinate seamlessly via vision-based navigation and agile manipulation. UBTech says this marks a transition to “Practical Training 2.0,” where humanoid robots operate as a swarm, maximizing efficiency and setting the stage for next-generation intelligent manufacturing.

Video: World’s first humanoid robot labor that swaps its own batteries to work endlessly | Jijo Malayil, Interesting Engineering Walker S2 uses dual-battery balancing and standardized modules to boost efficiency and ensure uninterrupted, optimized performance. In a leap for robotics, China’s UBTech has unveiled the Walker S2, the world’s first humanoid robot capable of fully autonomous battery swapping. Designed for non-stop industrial operations, the Walker S2 can replace its own power pack in just three minutes—no human intervention required. Equipped with advanced anthropomorphic bipedal locomotion and a hot-swappable battery system, Walker S2 is built to operate 24/7 across dynamic industrial environments. According to UBTech, the next-generation humanoid robot marks a major milestone in automation, bringing continuous, hands-free performance to the factory floor. In May 2025, UBTech Robotics and Huawei Technologies inked a significant partnership to accelerate the adoption of humanoid robots across China’s factories and households. Uninterrupted robot operations A video posted by the robotics firm opens with the sleek UBTech Walker S2 humanoid robot working in an industrial setting. The highlight, however, is its autonomous battery swap. Walker S2 approaches the charging station, carefully detaches its depleted power pack, and seamlessly installs a fresh one—all within about three minutes—without any human assistance, according to CGTN. The camera captures close-ups of the robot’s articulated limbs and the intelligent battery-handling mechanism, conveying precision and reliability. As the swap completes, Walker S2 resumes its duties, reinforcing the promise of uninterrupted, 24/7 operations in dynamic factory environments. UBTech’s Walker S2 humanoid robot is equipped with advanced dual-battery power balancing technology and uses standardized battery modules to optimize performance, reports CNEVPOST. This dual-battery system allows the robot to automatically switch to a backup battery in case of a main battery failure, ensuring that critical tasks are carried out without interruption. In addition to battery swapping, the robot can intelligently choose between charging and swapping based on task urgency, allowing it to manage energy dynamically and adapt to real-time operational demands. UBTech highlights these features as a step forward in deploying humanoid robots for industrial and domestic applications, combining flexibility, reliability, and autonomy in one intelligent platform. Factory intelligence upgrade Earlier in the year, UBTech unveiled a major advancement in humanoid robot collaboration, claiming the world’s first deployment of multiple humanoids working together across varied industrial tasks. Demonstrated at Zeekr’s 5G-enabled smart factory, the breakthrough centers on UBTech’s “BrainNet” framework, which orchestrates cooperative behavior through a cloud-device intelligence system. BrainNet integrates a “super brain” for high-level decision-making with an “intelligent sub-brain” for distributed multi-robot control. The super brain, powered by a proprietary large-scale multimodal reasoning model, handles complex production-line scheduling and decision-making. Meanwhile, the sub-brain coordinates real-time tasks using cross-field perception and Transformer-based control for dynamic adaptability. Together, they enable the Walker S1 humanoid robots to move beyond isolated operations and perform coordinated tasks with high precision and speed. The system is built on DeepSeek-R1 reasoning technology and trained on real-world data from automotive factory settings. Leveraging Retrieval-Augmented Generation (RAG), the model adapts to specific job functions and improves scalability across workstations. At Zeekr’s facility, dozens of Walker S1s now collaborate on tasks like assembly, inspection, and part handling. Using semantic VSLAM and shared mapping, they coordinate seamlessly via vision-based navigation and agile manipulation. UBTech says this marks a transition to “Practical Training 2.0,” where humanoid robots operate as a swarm, maximizing efficiency and setting the stage for next-generation intelligent manufacturing.

Owen Gregorian

35,637 次观看 • 11 个月前

A third of Palantir's PMs go on to start their own company, and their alumni have gone on to start nine unicorns—the highest rate of any company in the world other than PayPal. I spoke with Nabeel S. Qureshi to understand why. Nabeel spent nearly eight years at Palantir, working as a forward-deployed engineer. His work at Palantir ranged from accelerating the COVID-19 response to applying AI to drug discovery to optimizing aircraft manufacturing at Airbus. He's also a founder, writer, researcher, and visiting scholar of AI policy at the Mercatus Center (alongside tylercowen). In our conversation, we discuss: 🔸 How the “forward-deployed engineer” model works and why it creates exceptional product leaders 🔸 How Palantir transformed from a “sparkling Accenture” into a $200 billion data/software platform company with more than 80% margins 🔸 The unconventional hiring approach that screens for independent-minded, intellectually curious, and highly competitive people 🔸 Why the company intentionally avoids traditional titles and career ladders—and what they do instead 🔸 Why they built an ontology-first data platform that LLMs love 🔸 How Palantir’s controversial “bat signal” recruiting strategy filtered for specific talent types 🔸 The moral case for working at a company like Palantir 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: 🏆 Attio—The powerful, flexible CRM for fast-growing startups: 🏆 OneSchema—Import CSV data 10x faster:

A third of Palantir's PMs go on to start their own company, and their alumni have gone on to start nine unicorns—the highest rate of any company in the world other than PayPal. I spoke with Nabeel S. Qureshi to understand why. Nabeel spent nearly eight years at Palantir, working as a forward-deployed engineer. His work at Palantir ranged from accelerating the COVID-19 response to applying AI to drug discovery to optimizing aircraft manufacturing at Airbus. He's also a founder, writer, researcher, and visiting scholar of AI policy at the Mercatus Center (alongside tylercowen). In our conversation, we discuss: 🔸 How the “forward-deployed engineer” model works and why it creates exceptional product leaders 🔸 How Palantir transformed from a “sparkling Accenture” into a $200 billion data/software platform company with more than 80% margins 🔸 The unconventional hiring approach that screens for independent-minded, intellectually curious, and highly competitive people 🔸 Why the company intentionally avoids traditional titles and career ladders—and what they do instead 🔸 Why they built an ontology-first data platform that LLMs love 🔸 How Palantir’s controversial “bat signal” recruiting strategy filtered for specific talent types 🔸 The moral case for working at a company like Palantir 🔸 Much more Listen now 👇 • YouTube: • Spotify: • Apple: Thank you to our wonderful sponsors for supporting the podcast: 🏆 WorkOS—Modern identity platform for B2B SaaS, free up to 1 million MAUs: 🏆 Attio—The powerful, flexible CRM for fast-growing startups: 🏆 OneSchema—Import CSV data 10x faster:

Lenny Rachitsky

132,579 次观看 • 1 年前

China unveils humanoid robot with lifelike skin and blinking eyes built for daily life | Prabhat Ranjan Mishra, Interesting Engineering Large Language Models (LLMs) and Vision-Language Models (VLMs) help process and interpret complex data from human interactions. A Shanghai-based company has developed humanoid robots that appear as real as humans. The advanced bionic humanoid robot is integrated with self-supervised AI algorithms. Named Elf V1, the robot can perceive the world, communicate, learn, and interact intelligently with its surroundings. Developed by AheadForm Technology, the robot offers up to 30 degrees of freedom, powered by a precise control system and an advanced AI learning algorithm. Robot offers expressive facial features The robot offers expressive facial features, moving eyes, and synchronized speech. It can also convey emotions and understand human non-verbal cues, making interactions more natural and engaging. The robot has highly interactive capabilities and lifelike appearances. AheadForm expects that its robots could soon seamlessly integrate into daily life, providing assistance, companionship, and support across various industries. “We believe that by developing realistic and expressive robot heads, we can bridge the gap between humans and machines, fostering a new era of interactive and intelligent robotics,” said the company in a statement. Reports revealed that to avoid the “uncanny valley” effect and be able to interact with us, they are given lifelike skin and capabilities to read our emotions and respond appropriately using dynamic expression simulation and emotion generation tech. Bionic skin and high-precision control system The Elf V1 series of humanoids features 30 facial muscles animated by brushless micro-motors and managed by a high-precision control system. Paired with an ability to detect their users’ emotions with low latency and bionic skin, their facial expressions are nearly identical to those of humans, reported CGTN. The company claims it’s pioneering the development of realistic humanoid robots designed to revolutionize human-robot interaction. It’s enhancing sophisticated humanoid robot heads that can express emotions, perceive their environment, and interact seamlessly with humans. By combining cutting-edge AI and advanced robotics, AheadForm aims to bring life to machines and transform how humans engage with technology. AI models boost robots’ responsiveness Seamless integration of Large Language Models (LLMs) and Vision-Language Models (VLMs) into the humanoid robots can help them process and interpret complex data from human interactions, enabling the robot to learn and adapt in real-time, achieving human-level understanding and responsiveness. AheadForm uses Brushless Motors that deliver ultra-quiet operation and high responsiveness, specifically designed for precision facial movements in humanoid robots. With its compact size, lightweight design, and energy efficiency, this motor is the ideal choice for next-generation robots that require precise, subtle facial control to create a truly human-like experience. Previously, the company unveiled the Lan Series that features realistic humanoid robots with soft skin and 10 degrees of freedom, offering a lifelike appearance and intuitive movements. This series is designed for cost-efficiency, for applications prioritizing mobility and manipulation.

China unveils humanoid robot with lifelike skin and blinking eyes built for daily life | Prabhat Ranjan Mishra, Interesting Engineering Large Language Models (LLMs) and Vision-Language Models (VLMs) help process and interpret complex data from human interactions. A Shanghai-based company has developed humanoid robots that appear as real as humans. The advanced bionic humanoid robot is integrated with self-supervised AI algorithms. Named Elf V1, the robot can perceive the world, communicate, learn, and interact intelligently with its surroundings. Developed by AheadForm Technology, the robot offers up to 30 degrees of freedom, powered by a precise control system and an advanced AI learning algorithm. Robot offers expressive facial features The robot offers expressive facial features, moving eyes, and synchronized speech. It can also convey emotions and understand human non-verbal cues, making interactions more natural and engaging. The robot has highly interactive capabilities and lifelike appearances. AheadForm expects that its robots could soon seamlessly integrate into daily life, providing assistance, companionship, and support across various industries. “We believe that by developing realistic and expressive robot heads, we can bridge the gap between humans and machines, fostering a new era of interactive and intelligent robotics,” said the company in a statement. Reports revealed that to avoid the “uncanny valley” effect and be able to interact with us, they are given lifelike skin and capabilities to read our emotions and respond appropriately using dynamic expression simulation and emotion generation tech. Bionic skin and high-precision control system The Elf V1 series of humanoids features 30 facial muscles animated by brushless micro-motors and managed by a high-precision control system. Paired with an ability to detect their users’ emotions with low latency and bionic skin, their facial expressions are nearly identical to those of humans, reported CGTN. The company claims it’s pioneering the development of realistic humanoid robots designed to revolutionize human-robot interaction. It’s enhancing sophisticated humanoid robot heads that can express emotions, perceive their environment, and interact seamlessly with humans. By combining cutting-edge AI and advanced robotics, AheadForm aims to bring life to machines and transform how humans engage with technology. AI models boost robots’ responsiveness Seamless integration of Large Language Models (LLMs) and Vision-Language Models (VLMs) into the humanoid robots can help them process and interpret complex data from human interactions, enabling the robot to learn and adapt in real-time, achieving human-level understanding and responsiveness. AheadForm uses Brushless Motors that deliver ultra-quiet operation and high responsiveness, specifically designed for precision facial movements in humanoid robots. With its compact size, lightweight design, and energy efficiency, this motor is the ideal choice for next-generation robots that require precise, subtle facial control to create a truly human-like experience. Previously, the company unveiled the Lan Series that features realistic humanoid robots with soft skin and 10 degrees of freedom, offering a lifelike appearance and intuitive movements. This series is designed for cost-efficiency, for applications prioritizing mobility and manipulation.

Owen Gregorian

179,005 次观看 • 9 个月前

BREAKING: First-Ever Full Tour of Figure's Humanoid HQ CEO Brett Adcock Exclusive look through every department on their San Jose campus: BotQ Factory, Testing, Design, Demos & more. Brett walks us through how Figure is built: - System integration lab: where robots are stress-tested with software faults & physical pushes - Helix AI: team floor where the controls & neural network engineers train the vision-language-action model that runs onboard every Figure robot - Reinforcement learning & stability testing: where Figure demos the Vulcan project — surviving a lost knee mid-task - Home: environment where Figure 03 autonomously tidies a living room using their Helix neural network (no teleoperation) - BotQ: manufacturing facility where heads, batteries, and limbs come together on the assembly line, including the custom-built battery line & end-of-line burn-in bays - Industrial design studio: (opened publicly for the first time) housing every generation of Figure robot ever built, including: Figure 01 with its Frankenstein forearms, Figure 02, & the sleek Figure 03 that recently appeared at the White House, plus the evolution of Figure's hands & feet Brett shares why he believes humanoid robots may achieve AGI before any other form factor, why Figure pivoted entirely from hand-coded controls to neural networks, & teases that Figure 04 will be their "iPhone 1 moment." This was so much fun! Big thank you to Brett & the team at Figure for opening the doors for us! Brett Adcock Figure 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Inside Figure’s Humanoid Campus (00:48) The humanoid factory (03:18) First humanoid guest at the White House (05:29) Controlling a robot with infinite movements (10:46) The truth about robot failures (13:00) Attacking a humanoid robot (testing responses) (16:12) Building a general purpose robot (23:05) The "Never Fall" protocol (28:56) Is the home robot teleoperated? (33:36) Leasing a 24/7 robot (35:01) Can a humanoid build a real car? (43:32) From flying robots to humanoids (45:59) The hidden path to physical AGI (56:21) Figure's secret design studio (01:00:44) Figure 4: The biggest leap in robotics (01:06:25) Training robots in spandex (01:10:26) Westworld, TIME Magazine, & Deadmau5

BREAKING: First-Ever Full Tour of Figure's Humanoid HQ CEO Brett Adcock Exclusive look through every department on their San Jose campus: BotQ Factory, Testing, Design, Demos & more. Brett walks us through how Figure is built: - System integration lab: where robots are stress-tested with software faults & physical pushes - Helix AI: team floor where the controls & neural network engineers train the vision-language-action model that runs onboard every Figure robot - Reinforcement learning & stability testing: where Figure demos the Vulcan project — surviving a lost knee mid-task - Home: environment where Figure 03 autonomously tidies a living room using their Helix neural network (no teleoperation) - BotQ: manufacturing facility where heads, batteries, and limbs come together on the assembly line, including the custom-built battery line & end-of-line burn-in bays - Industrial design studio: (opened publicly for the first time) housing every generation of Figure robot ever built, including: Figure 01 with its Frankenstein forearms, Figure 02, & the sleek Figure 03 that recently appeared at the White House, plus the evolution of Figure's hands & feet Brett shares why he believes humanoid robots may achieve AGI before any other form factor, why Figure pivoted entirely from hand-coded controls to neural networks, & teases that Figure 04 will be their "iPhone 1 moment." This was so much fun! Big thank you to Brett & the team at Figure for opening the doors for us! Brett Adcock Figure 𝐓𝐈𝐌𝐄𝐒𝐓𝐀𝐌𝐏𝐒 (00:00) Inside Figure’s Humanoid Campus (00:48) The humanoid factory (03:18) First humanoid guest at the White House (05:29) Controlling a robot with infinite movements (10:46) The truth about robot failures (13:00) Attacking a humanoid robot (testing responses) (16:12) Building a general purpose robot (23:05) The "Never Fall" protocol (28:56) Is the home robot teleoperated? (33:36) Leasing a 24/7 robot (35:01) Can a humanoid build a real car? (43:32) From flying robots to humanoids (45:59) The hidden path to physical AGI (56:21) Figure's secret design studio (01:00:44) Figure 4: The biggest leap in robotics (01:06:25) Training robots in spandex (01:10:26) Westworld, TIME Magazine, & Deadmau5

Molly O’Shea

732,250 次观看 • 2 个月前

Announcing our 2026 Fellows! One is a neuroscientist exploring how the brain computes at a molecular level, another is a bioengineer 3D-printing human tissue. There’s a PhD student working on computational protein design, and an engineer developing robots to build large structures in space – just to name a few of the badasses in our new Fellowship cohort! With this one-year program, we want to support early-career talents advancing important science and tech. We connect them with senior scientists, invite them to our technical workshops, seminars, and Vision Weekends alongside leaders in their fields, and offer platforms for sharing their work. We are incredibly excited to introduce our 2026 Fellows! Longevity Biotechnology • Alex Plesa, Scientist, Harvard University Alex Plesa • Donnacha Fitzgerald, Founder, Origenity Donnacha Fitzgerald • Gianluca Cidonio, Assistant Professor, Sapienza University Gianluca Cidonio • Jakub Lála, PhD Student, Imperial College London Jakub Lála 👨🏻‍🍳🥯 • Léo Lopez, Staff Scientist, Tufts University • Nick Schaum, Postdoc & Co-Founder, University of Cambridge & Neurotechnology • Avery Krieger, Founder & CEO, Constellation Systems Avery Krieger • Constanze Albrecht, Graduate Student, MIT Media Lab • Elisa Kallioniemi, Assistant Professor, New Jersey Institute of Technology • Max Kanwal, PhD Student, Stanford University • Sven Truckenbrodt, Group Leader, MRC Laboratory of Molecular Biology Secure AI • Huixin Zhan, Assistant Professor, New Mexico Tech • Keith Patarroyo, Research Fellow, University of Glasgow Keith Patarroyo • Mateo Petel, Research Scientist, Stanford University • Tianyi Alex Qiu, Research Fellow, Oxford Human-Centered AI Lab Tianyi Alex Qiu • Vivek Nair, CEO, Multifactor Nanotechnology • Alberto Privitera, Assistant Professor, University of Florence • Kathryn Shelley, Postdoctoral Researcher, University of Washington • Konlin Shen, Research and Development Engineer, University of California San Francisco • Qiancheng Xiong, Senior Scientist, A*STAR Bioprocessing Technology Institute Space • Philip Linden, Space Systems Engineer, Planet Labs PBC • Sidh Sikka, Co-Founder, Manifold Research Sidh Sikka Existential Hope • Abigail Olvera, Research Director, Golden Gate Institute for AI Abi Olvera • Fin Moorhouse, Researcher, Forethought Fin Moorhouse • Mahlaqua Mila Noor, Viral Immunologist, University of Cambridge • Ninon Lizé Masclef, Research Affiliate, MIT Media Lab Ninon Lizé Masclef • Peggy Yin, PhD Student, Stanford University • Ruairidh Battleday, AI Researchers & Founder, Thinking About Thinking Ruairidh Battleday Learn more about our Fellowship:

Announcing our 2026 Fellows! One is a neuroscientist exploring how the brain computes at a molecular level, another is a bioengineer 3D-printing human tissue. There’s a PhD student working on computational protein design, and an engineer developing robots to build large structures in space – just to name a few of the badasses in our new Fellowship cohort! With this one-year program, we want to support early-career talents advancing important science and tech. We connect them with senior scientists, invite them to our technical workshops, seminars, and Vision Weekends alongside leaders in their fields, and offer platforms for sharing their work. We are incredibly excited to introduce our 2026 Fellows! Longevity Biotechnology • Alex Plesa, Scientist, Harvard University Alex Plesa • Donnacha Fitzgerald, Founder, Origenity Donnacha Fitzgerald • Gianluca Cidonio, Assistant Professor, Sapienza University Gianluca Cidonio • Jakub Lála, PhD Student, Imperial College London Jakub Lála 👨🏻‍🍳🥯 • Léo Lopez, Staff Scientist, Tufts University • Nick Schaum, Postdoc & Co-Founder, University of Cambridge & Neurotechnology • Avery Krieger, Founder & CEO, Constellation Systems Avery Krieger • Constanze Albrecht, Graduate Student, MIT Media Lab • Elisa Kallioniemi, Assistant Professor, New Jersey Institute of Technology • Max Kanwal, PhD Student, Stanford University • Sven Truckenbrodt, Group Leader, MRC Laboratory of Molecular Biology Secure AI • Huixin Zhan, Assistant Professor, New Mexico Tech • Keith Patarroyo, Research Fellow, University of Glasgow Keith Patarroyo • Mateo Petel, Research Scientist, Stanford University • Tianyi Alex Qiu, Research Fellow, Oxford Human-Centered AI Lab Tianyi Alex Qiu • Vivek Nair, CEO, Multifactor Nanotechnology • Alberto Privitera, Assistant Professor, University of Florence • Kathryn Shelley, Postdoctoral Researcher, University of Washington • Konlin Shen, Research and Development Engineer, University of California San Francisco • Qiancheng Xiong, Senior Scientist, A*STAR Bioprocessing Technology Institute Space • Philip Linden, Space Systems Engineer, Planet Labs PBC • Sidh Sikka, Co-Founder, Manifold Research Sidh Sikka Existential Hope • Abigail Olvera, Research Director, Golden Gate Institute for AI Abi Olvera • Fin Moorhouse, Researcher, Forethought Fin Moorhouse • Mahlaqua Mila Noor, Viral Immunologist, University of Cambridge • Ninon Lizé Masclef, Research Affiliate, MIT Media Lab Ninon Lizé Masclef • Peggy Yin, PhD Student, Stanford University • Ruairidh Battleday, AI Researchers & Founder, Thinking About Thinking Ruairidh Battleday Learn more about our Fellowship:

Foresight Institute

10,197 次观看 • 5 个月前