Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

Sortation robots at adidas warehouse! 👟 DHL Supply Chain has deployed sortation robots from Unbox Robotics at its B2C warehouse in India. These robots are designed to automate marketplace and transporter sorting processes and auto-manifest generation, replacing labor-intensive manual tasks. 📦 Each robot is configured to handle 31 unique... show more

Lukas Ziegler

10,347 subscribers

32,188 Aufrufe • vor 1 Jahr •via X (Twitter)

Wissenschaft & Technologie Bildung

Anya Rossi• Live Now

Private livecam show

9 Kommentare

Profilbild von Prime Domains (for Startups 🏆)

Prime Domains (for Startups 🏆)vor 1 Jahr

Robot 🦾🦾

Profilbild von Isabelle E-Z

Isabelle E-Zvor 1 Jahr

31 sort destinations, zero job security. Canada’s still debating basic policies while automation steamrolls local labor markets. Grim. 🤖

Profilbild von Eriiiiiiiick

Eriiiiiiiickvor 1 Jahr

If you love them so much, why don't you marry them, Lukas?

Profilbild von Simon

Simonvor 1 Jahr

looks like there is still a lot imporvement potential.

Profilbild von Mykhailo Sorochuk

Mykhailo Sorochukvor 1 Jahr

Robotics in action—looks like a busy, productive spot!

Profilbild von CyberRobo

CyberRobovor 1 Jahr

Unitee G1 has taken over people's living area 😂It chases and plays with the little girl. But she doesn't seem scared.

Profilbild von Lukas Ziegler

Lukas Zieglervor 1 Jahr

Quadrupeds are fast. Agile. Great at locomotion. But can they manipulate? A new approach from Carnegie Mellon University, Google DeepMind, and Bosch is teaching quadrupedal robots to do more than walk, they’re learning to interact. It’s called Human2LocoMan: a system that uses human data to pretrain robot policies before finetuning on real hardware. The result? A four-legged robot that can walk, carry, organize, scoop, and sort with both single and dual-arm control. By pretraining on human motion, they cut the amount of robot data in half—while improving success rates by over 80% in unfamiliar environments. Their Modularized Cross-Embodiment Transformer (MXT) learns from both human and robot demonstrations, then generalizes those skills to physical tasks—no hardcoded behaviors required. It’s locomotion and manipulation. A quadruped that can walk and clean up after itself?

Profilbild von K-Scale Labs

K-Scale Labsvor 1 Jahr

Wow, incredible to pass $1M in orders since launch on July 1st! We launched K-Bot to give the world an open-source humanoid robot anyone can own. Thank you to everyone who ordered! The Humanoids revolution just got started 🚀🚀🚀

Profilbild von jack vial

jack vialvor 1 Jahr

I can’t believe it worked! The self driving screwdriver is alive! This was the first successful autonomous inference, fifth attempt total, and first model! I trained ACT for 10 hours on 100 episodes of training data I collected over the weekend.. I did not clean the dataset, I know there are about 10-15 bad episodes in the dataset so the fact that the first model trained on this data done this well was somewhat surprising. My train val losses looked good and did not indicate overfitting (I ran validation on 25 of the episodes). I don’t have a sim for this robot so I wasn’t able to eyeball the robot in sim during training. Lots of improvements to make: clean data, gather more data, data augmentation, add better metrics… but this is looking very promising so far. I have left the video unedited, for science @huggingface @LeRobotHF is the software used here for hardware integration, data collection, model training and inference. The arm is the Alex Koch low cost robotic arm v1.1 mod by Jess Moss, and further modified with the screwdriver tool by yours truly.

Ähnliche Videos

Warehousing industry is revolutionized, largely driven by advances in robotics and automation technologies. 🤖 Here are five key robotic technologies revolutionizing warehousing: ✔Autonomous Mobile Robots (AMRs): These robots navigate warehouses autonomously, performing tasks like transporting goods, which greatly enhances efficiency and safety. 👉All these robots use Object/Image Detection for Inventory Management, learn more about it here: by SingleStore ✔Robotic Lift Trucks: An advancement over traditional forklifts, these robotic trucks perform material handling tasks with precision and reduce the risk of accidents associated with manual operations. ✔RFID Tagging: RFID technology allows for the accurate tracking, locating, and management of goods within the warehouse, streamlining inventory management and reducing errors. ✔Warehouse Drones: Drones are emerging as a cutting-edge technology for inventory management, picking, packing, and even last-mile deliveries, enhancing efficiency and reducing labor costs. ✔Warehouse Management Software (WMS): Advanced WMS systems utilize artificial intelligence and machine learning to provide real-time visibility into inventory levels and supply chain operations, optimizing warehouse operations. video: Interesting Engineering

Warehousing industry is revolutionized, largely driven by advances in robotics and automation technologies. 🤖 Here are five key robotic technologies revolutionizing warehousing: ✔Autonomous Mobile Robots (AMRs): These robots navigate warehouses autonomously, performing tasks like transporting goods, which greatly enhances efficiency and safety. 👉All these robots use Object/Image Detection for Inventory Management, learn more about it here: by SingleStore ✔Robotic Lift Trucks: An advancement over traditional forklifts, these robotic trucks perform material handling tasks with precision and reduce the risk of accidents associated with manual operations. ✔RFID Tagging: RFID technology allows for the accurate tracking, locating, and management of goods within the warehouse, streamlining inventory management and reducing errors. ✔Warehouse Drones: Drones are emerging as a cutting-edge technology for inventory management, picking, packing, and even last-mile deliveries, enhancing efficiency and reducing labor costs. ✔Warehouse Management Software (WMS): Advanced WMS systems utilize artificial intelligence and machine learning to provide real-time visibility into inventory levels and supply chain operations, optimizing warehouse operations. video: Interesting Engineering

Steve Nouri

50,062 Aufrufe • vor 2 Jahren

Humanoid robots are being born in China every day. Blue Worm Robotics, a startup from Xi’an, has officially unveiled its first humanoid robot. It moves on omnidirectional wheels, features a lifting torso, and has a look that’s almost like a Transformer. It runs in a hybrid mode of human teleoperation plus AI autonomy, and with its gripper design, it shows strong potential for use in electronics manufacturing and warehouse logistics. It made its debut at this year's World Humanoid Robotics Games in Beijing, winning third place in the warehouse sorting category.

Humanoid robots are being born in China every day. Blue Worm Robotics, a startup from Xi’an, has officially unveiled its first humanoid robot. It moves on omnidirectional wheels, features a lifting torso, and has a look that’s almost like a Transformer. It runs in a hybrid mode of human teleoperation plus AI autonomy, and with its gripper design, it shows strong potential for use in electronics manufacturing and warehouse logistics. It made its debut at this year's World Humanoid Robotics Games in Beijing, winning third place in the warehouse sorting category.

CyberRobo

41,873 Aufrufe • vor 7 Monaten

🚨 BREAKING: Indian robotics company Unbox Robotics raises $28M Series B! Unbox Robotics just closed a $28 million Series B led by ICICI Venture and Redstart Labs (Infoedge), with participation from F-Prime, 3one4 Capital, Navam Capital, Force Ventures LLP, and other existing investors. The Pune-based company builds modular robotic systems for warehouse and logistics operations. Their platform combines proprietary swarm-intelligence software with modular 3D robotic sortation hardware, allowing large fleets of robots to coordinate dynamically and scale throughput with minimal fixed infrastructure. The funding will be used to strengthen leadership and engineering teams, accelerate new product development, and expand market presence across India and select international markets. The company also created meaningful liquidity for employees through its ESOP program as part of the transaction. Unbox Robotics has built a growing customer base across Europe, the United States, and India, supporting global e-commerce, retail, and third-party logistics operators. The supply chain robotics market is heating up. With labor shortages, rising fulfillment costs, and demand for faster delivery, companies like Unbox that can deploy modular, software-driven robotic systems are in the right place at the right time. P.S. India producing robotics companies that compete globally in warehouse automation is a sign of how the robotics ecosystem is maturing beyond just the U.S., Europe, and China. 🇮🇳 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

🚨 BREAKING: Indian robotics company Unbox Robotics raises $28M Series B! Unbox Robotics just closed a $28 million Series B led by ICICI Venture and Redstart Labs (Infoedge), with participation from F-Prime, 3one4 Capital, Navam Capital, Force Ventures LLP, and other existing investors. The Pune-based company builds modular robotic systems for warehouse and logistics operations. Their platform combines proprietary swarm-intelligence software with modular 3D robotic sortation hardware, allowing large fleets of robots to coordinate dynamically and scale throughput with minimal fixed infrastructure. The funding will be used to strengthen leadership and engineering teams, accelerate new product development, and expand market presence across India and select international markets. The company also created meaningful liquidity for employees through its ESOP program as part of the transaction. Unbox Robotics has built a growing customer base across Europe, the United States, and India, supporting global e-commerce, retail, and third-party logistics operators. The supply chain robotics market is heating up. With labor shortages, rising fulfillment costs, and demand for faster delivery, companies like Unbox that can deploy modular, software-driven robotic systems are in the right place at the right time. P.S. India producing robotics companies that compete globally in warehouse automation is a sign of how the robotics ecosystem is maturing beyond just the U.S., Europe, and China. 🇮🇳 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

87,756 Aufrufe • vor 5 Monaten

Hyundai Glovis achieves 100% robot uptime with wireless charging! 🔌 Hyundai Glovis faced a problem common to warehouse automation: charging downtime was killing efficiency. Their fleet of AGVs operated with a 6.75:1 work-to-charge ratio. Every seventh robot was charging at any given moment. This meant 15% operational efficiency loss, or the need to purchase 15% extra robots just to compensate for charging downtime. CaPow solution is wireless power transfer while robots work! 🛜 The Genesis platform uses capacitive charging pads placed in the floor where robots naturally stop during operations, in this case, at picking stations. No docking required, no deviation from routes, no excavation needed. The test compared two identical setups. Section A used three robots with traditional charging (operate until 40% battery, charge to 95%). Section B used three robots with CaPow's system, charging at the picking station while operators picked items from bins. Traditional robots lost 8.3% battery per hour and suffered 33% operational inefficiency (150 minutes downtime out of 447 minutes). CaPowered robots gained 1% battery per hour on average and achieved 100% uptime for the entire 8-hour shift. The math on a 100-robot fleet is clear. Traditional charging means only 85 robots working at any time. To maintain full throughput, you need to buy 15 extra robots plus 15 extra chargers. Those chargers consume valuable warehouse space and add extra downtime as robots travel to and from charging zones. CaPow eliminates all of it. No extra robots, no chargers taking up floor space, no charging routes, no fleet management complexity. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Hyundai Glovis achieves 100% robot uptime with wireless charging! 🔌 Hyundai Glovis faced a problem common to warehouse automation: charging downtime was killing efficiency. Their fleet of AGVs operated with a 6.75:1 work-to-charge ratio. Every seventh robot was charging at any given moment. This meant 15% operational efficiency loss, or the need to purchase 15% extra robots just to compensate for charging downtime. CaPow solution is wireless power transfer while robots work! 🛜 The Genesis platform uses capacitive charging pads placed in the floor where robots naturally stop during operations, in this case, at picking stations. No docking required, no deviation from routes, no excavation needed. The test compared two identical setups. Section A used three robots with traditional charging (operate until 40% battery, charge to 95%). Section B used three robots with CaPow's system, charging at the picking station while operators picked items from bins. Traditional robots lost 8.3% battery per hour and suffered 33% operational inefficiency (150 minutes downtime out of 447 minutes). CaPowered robots gained 1% battery per hour on average and achieved 100% uptime for the entire 8-hour shift. The math on a 100-robot fleet is clear. Traditional charging means only 85 robots working at any time. To maintain full throughput, you need to buy 15 extra robots plus 15 extra chargers. Those chargers consume valuable warehouse space and add extra downtime as robots travel to and from charging zones. CaPow eliminates all of it. No extra robots, no chargers taking up floor space, no charging routes, no fleet management complexity. ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

17,778 Aufrufe • vor 5 Monaten

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 Aufrufe • vor 1 Jahr

A new member joins the European humanoid robot team. German company Agile Robotics has launched its first industrial humanoid robot, Agile One, featuring intuitive human-robot interaction, dexterous hands (for grasping small screws and touching the screen), and AI-driven operation trained in the real world. It performs tasks such as material collection, handling, picking and placing, loading and unloading machine tools, tool handling, and precision operations. The emergence of humanoid robots by industrial robot companies is a natural progression; they are designed for areas inaccessible to traditional robotic arms and industrial robots, extending operational systems and enhancing business collaboration capabilities. Agile One will be manufactured in Germany in early 2026 and deployed for on-site training at customers to enhance its AI model capabilities. Soon, Europe will enter its second wave of automation driven by intelligent technology.

A new member joins the European humanoid robot team. German company Agile Robotics has launched its first industrial humanoid robot, Agile One, featuring intuitive human-robot interaction, dexterous hands (for grasping small screws and touching the screen), and AI-driven operation trained in the real world. It performs tasks such as material collection, handling, picking and placing, loading and unloading machine tools, tool handling, and precision operations. The emergence of humanoid robots by industrial robot companies is a natural progression; they are designed for areas inaccessible to traditional robotic arms and industrial robots, extending operational systems and enhancing business collaboration capabilities. Agile One will be manufactured in Germany in early 2026 and deployed for on-site training at customers to enhance its AI model capabilities. Soon, Europe will enter its second wave of automation driven by intelligent technology.

CyberRobo

72,567 Aufrufe • vor 7 Monaten

China-based TARS Robotics demonstrated a humanoid robot performing two-handed hand embroidery during a public showcase on December 22, marking a notable step in fine motor control for humanoid systems. The robot threaded a needle and stitched a logo using both hands with sub-millimeter accuracy, working with soft, flexible materials that are difficult for traditional industrial robots to handle due to deformation and variability. According to the company, this capability is enabled by a closed-loop "Data-Al-Physics" system that connects real-world data collection, embodied Al models, and physical execution, reducing the gap between simulation and real deployment. The models are said to be open source when released. Founded in February 2025, TARS Robotics has moved quickly from research to live demonstrations and has raised over $240 million in early funding from the Chinese government, reflecting growing interest in general-purpose humanoid robots for precision and dexterous tasks.

Brian Roemmele

82,611 Aufrufe • vor 6 Monaten

A Few Thoughts on Robotics The criticism that robotics can only be used in a rather one-sided way is, at the same time, the solution to the problem. What do I mean by that? Since the Industrial Revolution, humanity has increasingly made production methods more efficient. Fordism introduced assembly line work, but this comes at the expense of monotonous, repetitive tasks. On the one hand, immense wealth has been created; on the other hand, countless people suffer from repetitive tasks, which are a direct consequence of that industrial revolution and the division of labor- in other words, assembly line work. The debate about whether AI and robotics could impact the labor market is answered in different ways. I have a clear opinion on this: Up to now, technology has merely been an augmentation, an improvement of human labor to make it more effective. Robotics and AI, however, represent a qualitative break with this situation. For the first time in human history, it won't be humans who become more efficient, but rather replaceable, insofar as human augmentation becomes *less* efficient than replacing human labor with robotics. In just a few years, a human using technology will simply be less efficient than a robot that doesn't know an eight-hour day, weekends, or holidays, but can perform monotonous tasks 24/7 on an assembly line without breaking down due to physical ailments or needing medical attention. Wear and tear simply means replacing specific parts of the robot. To return to the initial question: production doesn't require general-purpose robots capable of performing a wide variety of tasks, but rather specialized robots that excel at the specific tasks for which they are needed. Figure02 vividly illustrates why this is only now possible: even the simplest assembly line work still requires delicate manual dexterity because the production line is designed for human hands. This breakthrough has now arrived, but AGI (Automated Generating Intelligence) isn't necessary for robots to be used in production processes. It's sufficient that they can perform monotonous tasks. And that's why I believe 2026 will be the year of the robots. (Clip: Figure02 in production chain at BMW Car-production)

A Few Thoughts on Robotics The criticism that robotics can only be used in a rather one-sided way is, at the same time, the solution to the problem. What do I mean by that? Since the Industrial Revolution, humanity has increasingly made production methods more efficient. Fordism introduced assembly line work, but this comes at the expense of monotonous, repetitive tasks. On the one hand, immense wealth has been created; on the other hand, countless people suffer from repetitive tasks, which are a direct consequence of that industrial revolution and the division of labor- in other words, assembly line work. The debate about whether AI and robotics could impact the labor market is answered in different ways. I have a clear opinion on this: Up to now, technology has merely been an augmentation, an improvement of human labor to make it more effective. Robotics and AI, however, represent a qualitative break with this situation. For the first time in human history, it won't be humans who become more efficient, but rather replaceable, insofar as human augmentation becomes less efficient than replacing human labor with robotics. In just a few years, a human using technology will simply be less efficient than a robot that doesn't know an eight-hour day, weekends, or holidays, but can perform monotonous tasks 24/7 on an assembly line without breaking down due to physical ailments or needing medical attention. Wear and tear simply means replacing specific parts of the robot. To return to the initial question: production doesn't require general-purpose robots capable of performing a wide variety of tasks, but rather specialized robots that excel at the specific tasks for which they are needed. Figure02 vividly illustrates why this is only now possible: even the simplest assembly line work still requires delicate manual dexterity because the production line is designed for human hands. This breakthrough has now arrived, but AGI (Automated Generating Intelligence) isn't necessary for robots to be used in production processes. It's sufficient that they can perform monotonous tasks. And that's why I believe 2026 will be the year of the robots. (Clip: Figure02 in production chain at BMW Car-production)

Chubby♨️

15,228 Aufrufe • vor 7 Monaten

DHL is scaling robotics to meet the future of supply chains! ⛓️‍💥 The logistics giant just announced a £550M (€637M) investment to expand automation across UK & Ireland operations, supporting fast growth in e-commerce and life sciences healthcare. 🇬🇧 By 2030, DHL plans to significantly grow its contract logistics business globally, with robotics and digitalisation as core enablers. The rollout already includes more than 2,000 robots across UK & EMEA, such as 750+ assisted picking robots from Locus Robotics, 6 River Systems, Part of Ocado Group, and RobustAI. Worth mentioning highlight, the first deployment of Boston Dynamics Stretch robot in the UK, capable of unloading up to 700 boxes per hour. This investment builds on DHL’s €1B+ already spent on automation over the last 3 years, spanning 3,200+ digitalisation projects. From assisted picking to container unloading, DHL’s bet is clear, robots will be central to high-speed logistics in the decade ahead.

DHL is scaling robotics to meet the future of supply chains! ⛓️‍💥 The logistics giant just announced a £550M (€637M) investment to expand automation across UK & Ireland operations, supporting fast growth in e-commerce and life sciences healthcare. 🇬🇧 By 2030, DHL plans to significantly grow its contract logistics business globally, with robotics and digitalisation as core enablers. The rollout already includes more than 2,000 robots across UK & EMEA, such as 750+ assisted picking robots from Locus Robotics, 6 River Systems, Part of Ocado Group, and RobustAI. Worth mentioning highlight, the first deployment of Boston Dynamics Stretch robot in the UK, capable of unloading up to 700 boxes per hour. This investment builds on DHL’s €1B+ already spent on automation over the last 3 years, spanning 3,200+ digitalisation projects. From assisted picking to container unloading, DHL’s bet is clear, robots will be central to high-speed logistics in the decade ahead.

Lukas Ziegler

26,595 Aufrufe • vor 11 Monaten

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 Aufrufe • vor 11 Monaten

Robots moving railcars! 🚃 Did you know that KUKA is also in the mobile robots business? Yes, you heard that right. And not just any robots. Robots that carry up to 56 tons! 🏋🏼 The railcar production process is highly complex, particularly when moving massive cars sideways within a plant. This challenge has been addressed at the Siemens facility in Germany using the OmniMove system from KUKA. The system allows for precise positioning, enabling the units to lift, move, and lower railcars with remarkable accuracy. With Mecanum wheels, the OmniMove units can move seamlessly in any direction, making the process incredibly efficient. Together, these units are capable of lifting up to 56 tons, streamlining heavy railcar production. This one is clearly tele-operated, but just looking at it makes me feel safer when I see a human in the loop. What a great use case for mobile robots! 😮‍💨 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Robots moving railcars! 🚃 Did you know that KUKA is also in the mobile robots business? Yes, you heard that right. And not just any robots. Robots that carry up to 56 tons! 🏋🏼 The railcar production process is highly complex, particularly when moving massive cars sideways within a plant. This challenge has been addressed at the Siemens facility in Germany using the OmniMove system from KUKA. The system allows for precise positioning, enabling the units to lift, move, and lower railcars with remarkable accuracy. With Mecanum wheels, the OmniMove units can move seamlessly in any direction, making the process incredibly efficient. Together, these units are capable of lifting up to 56 tons, streamlining heavy railcar production. This one is clearly tele-operated, but just looking at it makes me feel safer when I see a human in the loop. What a great use case for mobile robots! 😮‍💨 ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

19,148 Aufrufe • vor 13 Tagen

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 Aufrufe • vor 9 Monaten

Okay, full 5 second laugh break done. But wait… This tiny DIY robot made in China is already learning how to grab, move, and manipulate toys autonomously inside a real home environment. That is literally the first real step toward personal robotics and autonomous home manipulation. Toys are officially entering the robot era. At first you laugh, then two seconds later you realize this is exactly how robotics culture spreads: from labs running fully autonomous humanoids to factories to garages and now directly into kids’ bedrooms with DIY robots already doing miniature warehouse robotics. This is physical AI leaving the cloud and entering the living room. And honestly, it’s exciting watching this happen live on X right now.

Okay, full 5 second laugh break done. But wait… This tiny DIY robot made in China is already learning how to grab, move, and manipulate toys autonomously inside a real home environment. That is literally the first real step toward personal robotics and autonomous home manipulation. Toys are officially entering the robot era. At first you laugh, then two seconds later you realize this is exactly how robotics culture spreads: from labs running fully autonomous humanoids to factories to garages and now directly into kids’ bedrooms with DIY robots already doing miniature warehouse robotics. This is physical AI leaving the cloud and entering the living room. And honestly, it’s exciting watching this happen live on X right now.

TechniaHQ | humanoid robots

18,738 Aufrufe • vor 2 Monaten

500 humanoid robots replacing humans in high-voltage operations What does that look like? Steel against steel,instead of flesh and blood. This marks a turning point for China’s State Grid, shifting from human-based maintenance to autonomous operations. This year, State Grid announced plans to procure 8,500 embodied AI robots, with a total budget of RMB 6.8 billion (~$1 billion). These robots will be deployed across four major scenarios: power inspection, live-line operations, emergency response, and warehouse logistics,covering more than 600 specific task scenarios. Among them, humanoid robots for live-line operations are the most expensive and strategically critical: 500 units with a budget of RMB 2.5 billion (~$370 million). They will be deployed in distribution network live-line work and ultra-high-voltage (UHV) projects, replacing humans in high-risk tasks. Workers will transition into supervisory roles, ready to take over remotely when needed. As early as last year, State Grid had already validated the feasibility of humanoid robots for substation inspection. Tienkung can autonomously perform inspection tasks at a State Grid substation in Beijing. Of course, suppliers are not limited to X-Humanoid,players like Unitree, AGIBOT, DeepRobotics, UBTECH, and Fourier are all involved. These 500 humanoid robots will also collaborate with 5,000 inspection quadruped robots and 3,000 dual-arm wheeled robots for indoor substation maintenance,together forming an intelligent, automated, and collaborative network for autonomous grid operations. What does this change? According to State Grid, each embodied AI unit can save RMB 500,000 to 800,000 (~$70,000–$110,000) in annual labor costs, with a payback period of around 2–3 years. Inspection efficiency increases by 5x, fault response time is reduced by 60%, and power supply reliability improves by 0.5 percentage points. More importantly, over 90% of human exposure to high-risk operations can be eliminated, reducing safety incidents by 80%. At another level, for humanoid robot companies, the center of R&D and iteration is shifting to the customer site. Real-world physical interaction becomes the fastest feedback loop,accelerating innovation and evolution. And 8,500 units are just the beginning of scaled deployment. Based on current plans, embodied AI robots will cover 30% of key areas in State Grid by 2026, 80% of high-risk operation scenarios by 2027, and enable fully autonomous operations by 2030. The demand roadmap is clear: define use cases ->deploy at scale->improve models and robots->expand further. 8,500… 50,000… 100,000… But remember,power grids are just one part of China’s vast infrastructure system. The experience of autonomous robotic operations here can be replicated across other sectors, such as broader energy systems. That, in itself, is another story. P.S.The video shows Tienkung 1.0 autonomously performing substation inspection tasks (2025).

500 humanoid robots replacing humans in high-voltage operations What does that look like? Steel against steel,instead of flesh and blood. This marks a turning point for China’s State Grid, shifting from human-based maintenance to autonomous operations. This year, State Grid announced plans to procure 8,500 embodied AI robots, with a total budget of RMB 6.8 billion (~$1 billion). These robots will be deployed across four major scenarios: power inspection, live-line operations, emergency response, and warehouse logistics,covering more than 600 specific task scenarios. Among them, humanoid robots for live-line operations are the most expensive and strategically critical: 500 units with a budget of RMB 2.5 billion (~$370 million). They will be deployed in distribution network live-line work and ultra-high-voltage (UHV) projects, replacing humans in high-risk tasks. Workers will transition into supervisory roles, ready to take over remotely when needed. As early as last year, State Grid had already validated the feasibility of humanoid robots for substation inspection. Tienkung can autonomously perform inspection tasks at a State Grid substation in Beijing. Of course, suppliers are not limited to X-Humanoid,players like Unitree, AGIBOT, DeepRobotics, UBTECH, and Fourier are all involved. These 500 humanoid robots will also collaborate with 5,000 inspection quadruped robots and 3,000 dual-arm wheeled robots for indoor substation maintenance,together forming an intelligent, automated, and collaborative network for autonomous grid operations. What does this change? According to State Grid, each embodied AI unit can save RMB 500,000 to 800,000 (~$70,000–$110,000) in annual labor costs, with a payback period of around 2–3 years. Inspection efficiency increases by 5x, fault response time is reduced by 60%, and power supply reliability improves by 0.5 percentage points. More importantly, over 90% of human exposure to high-risk operations can be eliminated, reducing safety incidents by 80%. At another level, for humanoid robot companies, the center of R&D and iteration is shifting to the customer site. Real-world physical interaction becomes the fastest feedback loop,accelerating innovation and evolution. And 8,500 units are just the beginning of scaled deployment. Based on current plans, embodied AI robots will cover 30% of key areas in State Grid by 2026, 80% of high-risk operation scenarios by 2027, and enable fully autonomous operations by 2030. The demand roadmap is clear: define use cases ->deploy at scale->improve models and robots->expand further. 8,500… 50,000… 100,000… But remember,power grids are just one part of China’s vast infrastructure system. The experience of autonomous robotic operations here can be replicated across other sectors, such as broader energy systems. That, in itself, is another story. P.S.The video shows Tienkung 1.0 autonomously performing substation inspection tasks (2025).

CyberRobo

46,782 Aufrufe • vor 2 Monaten

.Sergey Levine is one of the world's leading robotics researchers (and co-founder of Physical Intelligence). He thinks fully autonomous robots are much closer than people realize - when I pushed him on a prediction, he said 5 years to robots that can autonomously run your household). The big game changer, in his view, is that we finally have LLMs with common sense and prior knowledge that we can scaffold the robot models around. We get into all the reasons this might not happen, the data flywheel from deployment, architecture, simulation, manufacturing, and much more. Enjoy! 0:00:00 – Timeline to widely deployed autonomous robots 0:22:12 – Why robotics will scale faster than self-driving cars 0:32:15 – How vision-language-action models work 0:50:26 – Improvements needed for brainlike efficiency 1:02:48 – Learning from simulation 1:14:08 – How much will robots speed up AI buildouts? 1:22:54 – If hardware’s the bottleneck, does China win by default?

.Sergey Levine is one of the world's leading robotics researchers (and co-founder of Physical Intelligence). He thinks fully autonomous robots are much closer than people realize - when I pushed him on a prediction, he said 5 years to robots that can autonomously run your household). The big game changer, in his view, is that we finally have LLMs with common sense and prior knowledge that we can scaffold the robot models around. We get into all the reasons this might not happen, the data flywheel from deployment, architecture, simulation, manufacturing, and much more. Enjoy! 0:00:00 – Timeline to widely deployed autonomous robots 0:22:12 – Why robotics will scale faster than self-driving cars 0:32:15 – How vision-language-action models work 0:50:26 – Improvements needed for brainlike efficiency 1:02:48 – Learning from simulation 1:14:08 – How much will robots speed up AI buildouts? 1:22:54 – If hardware’s the bottleneck, does China win by default?

Dwarkesh Patel

210,969 Aufrufe • vor 10 Monaten

Figure AI, a 🇺🇸US humanoid robot startup, has ignited debate over robot commercialisation on industrial sites by livestreaming on YouTube a humanoid robot deployed at a logistics warehouse sorting packages non-stop for more than 81 hours, while it processed more than 100,000 packages. “Jim” visually recognizes boxes, identifies the orientation of labels, and moves them to designated locations—making all judgments using only its internal computer. It works autonomously without remote control. Expert opinions are divided. One expert described the demonstration as "closer to a science project than a fully commercial service." She cited accuracy as the biggest challenge, noting that scenes throughout the video showed the robot failing to place parcels in precise locations. Some point out that in actual logistics environments, precision matters more than speed, and areas such as handling exceptions or communication between workers remain difficult for robots at this stage. While the robot's sustainability in simple, repetitive tasks has been confirmed, additional verification remains before broad commercialization, observers said. When commercialised, Figure AI robots are expected to cost from $30,000 per unit.

Figure AI, a 🇺🇸US humanoid robot startup, has ignited debate over robot commercialisation on industrial sites by livestreaming on YouTube a humanoid robot deployed at a logistics warehouse sorting packages non-stop for more than 81 hours, while it processed more than 100,000 packages. “Jim” visually recognizes boxes, identifies the orientation of labels, and moves them to designated locations—making all judgments using only its internal computer. It works autonomously without remote control. Expert opinions are divided. One expert described the demonstration as "closer to a science project than a fully commercial service." She cited accuracy as the biggest challenge, noting that scenes throughout the video showed the robot failing to place parcels in precise locations. Some point out that in actual logistics environments, precision matters more than speed, and areas such as handling exceptions or communication between workers remain difficult for robots at this stage. While the robot's sustainability in simple, repetitive tasks has been confirmed, additional verification remains before broad commercialization, observers said. When commercialised, Figure AI robots are expected to cost from $30,000 per unit.

Dovydas Vitkauskas

21,911 Aufrufe • vor 2 Monaten

Robots working arm in arm in labs! 🧪 I know that nowadays (all the humanoids, quadrupeds and fancy mobile manipualtors) such applications no longer generate as much excitement as they used to. However, they are still great applications in a very demanding market, where they serve as a SUPER VALUABLE tool for people from the first day of installation. From chemical plants to biotech labs, much of today’s research still depends on manual labor, often with staff working long hours around hazardous substances. LabBotics and Flexiv Robotics are working to change that with new lab automation platforms. By combining adaptive robots, smart grippers, and advanced vision these systems can take on the work of a lab assistant: performing tasks with consistent precision, and keeping people out of harm’s way. The result is safer labs, higher throughput, and fewer errors. ⛔️

Robots working arm in arm in labs! 🧪 I know that nowadays (all the humanoids, quadrupeds and fancy mobile manipualtors) such applications no longer generate as much excitement as they used to. However, they are still great applications in a very demanding market, where they serve as a SUPER VALUABLE tool for people from the first day of installation. From chemical plants to biotech labs, much of today’s research still depends on manual labor, often with staff working long hours around hazardous substances. LabBotics and Flexiv Robotics are working to change that with new lab automation platforms. By combining adaptive robots, smart grippers, and advanced vision these systems can take on the work of a lab assistant: performing tasks with consistent precision, and keeping people out of harm’s way. The result is safer labs, higher throughput, and fewer errors. ⛔️

Lukas Ziegler

20,413 Aufrufe • vor 10 Monaten

Demystifying China's Dancing Robots: How Did They Catch Handkerchiefs?🇨🇳🤖 16 humanoid robots from Chinese robotics company, Unitree, took center stage at the annual #SpringFestivalGala. The robots seamlessly coordinated with 16 human dancers to perform a traditional Yangko dance, a vibrant folk art form from northeast China, blending cultural heritage with cutting-edge technology. One of the most captivating moments came when the robots showcased their ability to manipulate handkerchiefs, a signature element of Yangko dance. With precise mechanical arm movements, the robots sent the handkerchiefs twirling and soaring through the air, creating a dazzling visual spectacle that symbolized the perfect fusion of tradition and modernity. To maintain the stable upright standing position is already a challenge for current humanoid robots – consider the shaky steps and tendency to roll off even a small incline of Elon Musk's Optimus. To toss a handkerchief and catch it back in place requires the integration of sensors, algorithm and smart design. "We've designed a very clever mechanism that integrates multiple AI control algorithms. There are two motors at the end of the robotic arm: one maintains a high-speed spinning motion, while the other ensures that the handkerchief can be thrown out and then retracted," Unitree's marketing representative said. The 16 humanoid robots belong to Unitree's H1 series, nicknamed Fuxi. Standing at 1.8 meters tall and weighing 47 kilograms, the robots took the stage at the Spring Festival Gala stage over a year after debuting in August 2023. They also attended the NVIDIA GTC conference in 2024. #ChineseNewYear #DeepSeek (Link:

Demystifying China's Dancing Robots: How Did They Catch Handkerchiefs?🇨🇳🤖 16 humanoid robots from Chinese robotics company, Unitree, took center stage at the annual #SpringFestivalGala. The robots seamlessly coordinated with 16 human dancers to perform a traditional Yangko dance, a vibrant folk art form from northeast China, blending cultural heritage with cutting-edge technology. One of the most captivating moments came when the robots showcased their ability to manipulate handkerchiefs, a signature element of Yangko dance. With precise mechanical arm movements, the robots sent the handkerchiefs twirling and soaring through the air, creating a dazzling visual spectacle that symbolized the perfect fusion of tradition and modernity. To maintain the stable upright standing position is already a challenge for current humanoid robots – consider the shaky steps and tendency to roll off even a small incline of Elon Musk's Optimus. To toss a handkerchief and catch it back in place requires the integration of sensors, algorithm and smart design. "We've designed a very clever mechanism that integrates multiple AI control algorithms. There are two motors at the end of the robotic arm: one maintains a high-speed spinning motion, while the other ensures that the handkerchief can be thrown out and then retracted," Unitree's marketing representative said. The 16 humanoid robots belong to Unitree's H1 series, nicknamed Fuxi. Standing at 1.8 meters tall and weighing 47 kilograms, the robots took the stage at the Spring Festival Gala stage over a year after debuting in August 2023. They also attended the NVIDIA GTC conference in 2024. #ChineseNewYear #DeepSeek (Link:

Li Jingjing 李菁菁

11,169 Aufrufe • vor 1 Jahr

Karol Hausman is the co-founder and CEO of Physical Intelligence, a robotics company building a general-purpose “AI brain for the physical world.” The company has raised more than $1 billion in funding to develop foundation models that allow robots to operate across many machines, environments, and tasks rather than being programmed for a single purpose. In our conversation, we explore: • The moment a lecture from Sergey Levine convinced him to abandon his PhD research direction and pivot fully to deep learning • The case for building a general “AI brain” for the physical world rather than a single specialized robot • The role of real-world data in training robots, the limits of simulation, and how deployment could create a powerful data flywheel • The unique challenges of physical intelligence and why robots must operate with far higher reliability than language models Thank you to the partners who make this possible - Brex: The intelligent finance platform: - Granola: The app that might actually make you love meetings: Timestamps (00:00) Intro (04:05) Karol’s early fascination with robots (18:21) Karol’s entry point to robotics and PhD program (25:49) Combining robotics with LLMs: The Taylor Swift demo (30:48) The 1970s SHRDLU AI experiment (39:40) How research shapes what Physical Intelligence builds (49:07) The return of reinforcement learning in robotics (1:00:00) NVIDIA’s simulation engines (1:07:31) Compensating for missing senses

Karol Hausman is the co-founder and CEO of Physical Intelligence, a robotics company building a general-purpose “AI brain for the physical world.” The company has raised more than $1 billion in funding to develop foundation models that allow robots to operate across many machines, environments, and tasks rather than being programmed for a single purpose. In our conversation, we explore: • The moment a lecture from Sergey Levine convinced him to abandon his PhD research direction and pivot fully to deep learning • The case for building a general “AI brain” for the physical world rather than a single specialized robot • The role of real-world data in training robots, the limits of simulation, and how deployment could create a powerful data flywheel • The unique challenges of physical intelligence and why robots must operate with far higher reliability than language models Thank you to the partners who make this possible - Brex: The intelligent finance platform: - Granola: The app that might actually make you love meetings: Timestamps (00:00) Intro (04:05) Karol’s early fascination with robots (18:21) Karol’s entry point to robotics and PhD program (25:49) Combining robotics with LLMs: The Taylor Swift demo (30:48) The 1970s SHRDLU AI experiment (39:40) How research shapes what Physical Intelligence builds (49:07) The return of reinforcement learning in robotics (1:00:00) NVIDIA’s simulation engines (1:07:31) Compensating for missing senses

Mario Gabriele 🦊

27,871 Aufrufe • vor 4 Monaten