正在加载视频...

视频加载失败

返回首页

The Robots Will Need Internet Connectivity Too New High Signal Podcast with Sam Lewis & Nils from Follow @Auki Produced by: Proof of Coverage Media Topics Discussed: - Expanding Helium’s TAM to robots too - Why robots won’t use GPS - DePIN as AI’s “nervous system”

helium's profile picture

Helium🎈

221,869 subscribers

15,161 次观看 • 8 个月前 •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

0 条评论

暂无评论

原始帖子的评论将显示在这里

相关视频

🎙️ NEW: High Signal Deployer Roundtable with Flywheel.Systems 🎈 & LoneStar Tracking Real builders share how they're scaling HNT-powered businesses and expanding Helium Network deployments Host: Sam Lewis | Guests: KΞ7IN 🎈 & Zachary Morrison Produced by: Proof of Coverage | Tech’s Creative Agency Full episode:
0:51

🎙️ NEW: High Signal Deployer Roundtable with Flywheel.Systems 🎈 & LoneStar Tracking Real builders share how they're scaling HNT-powered businesses and expanding Helium Network deployments Host: Sam Lewis | Guests: KΞ7IN 🎈 & Zachary Morrison Produced by: Proof of Coverage | Tech’s Creative Agency Full episode:

Helium🎈

186,048 次观看 • 10 个月前

1/ New episode – How HNT is Powering GDP On-Chain with Santiago R Santos from Inversion Host: Sam Lewis Produced by: Proof of Coverage Media They discuss: - Why Inversion is starting in telco & w/ Helium - Why DePIN might create more value than Bitcoin - How Helium is hitting true PMF
0:51

1/ New episode – How HNT is Powering GDP On-Chain with Santiago R Santos from Inversion Host: Sam Lewis Produced by: Proof of Coverage Media They discuss: - Why Inversion is starting in telco & w/ Helium - Why DePIN might create more value than Bitcoin - How Helium is hitting true PMF

Helium🎈

73,715 次观看 • 9 个月前

We have to face it. Robots will ultimately have a face. But why? The human face transmits information in a far more rapid manner than any other system. Working face to face with robots are going to require this signal. This is the face from AheafFrom robotics. For robotics companies that do not have human faces, I say best to start now or encourage an after market hobby garage builder face market. This is the way of it.
1:21

We have to face it. Robots will ultimately have a face. But why? The human face transmits information in a far more rapid manner than any other system. Working face to face with robots are going to require this signal. This is the face from AheafFrom robotics. For robotics companies that do not have human faces, I say best to start now or encourage an after market hobby garage builder face market. This is the way of it.

Brian Roemmele

27,755 次观看 • 9 个月前

XPENG founder and CEO He Xiaopeng announced that they will release a new generation of humanoid robots next month, introducing a new AI system, VLT, combined with five other systems, including VLA/VLM. The goal is to transition humanoid robots from remote-controlled to fully autonomous. Their second-generation humanoid robot, Iron, released last year, is already undergoing trial operations at the XPENG factory in Guangzhou and serving as a shopping guide in the flagship store. It's worth noting that Tesla plans to release the Optimus V3 by the end of the year.
1:00

XPENG founder and CEO He Xiaopeng announced that they will release a new generation of humanoid robots next month, introducing a new AI system, VLT, combined with five other systems, including VLA/VLM. The goal is to transition humanoid robots from remote-controlled to fully autonomous. Their second-generation humanoid robot, Iron, released last year, is already undergoing trial operations at the XPENG factory in Guangzhou and serving as a shopping guide in the flagship store. It's worth noting that Tesla plans to release the Optimus V3 by the end of the year.

CyberRobo

12,948 次观看 • 9 个月前

🚨 BREAKING: German robot maker NEURA Robotics has raised €120 million in Series B funding to advance its cognitive robotics technology. Good to see the Europe robotics market moving! 🇪🇺 And yes I know this is news from mid-January, sometimes you have to be like Internet Explorer! Their product lineup includes collaborative arms, autonomous mobile robots, and humanoids. The funding will support new product development and the growth of its Neuraverse ecosystem, an operating system and marketplace for robotic skills. David Reger believes cognitive robots could become bigger than smartphones, with NEURA leading the way as Germany’s only humanoid robotics company. You can meet this and many other robots at the internationalhumanoidforum in Biel on the 20th & 21st of February! 🇨🇭 I also will be there, and I am happy to talk about the future of robotics!
0:40

🚨 BREAKING: German robot maker NEURA Robotics has raised €120 million in Series B funding to advance its cognitive robotics technology. Good to see the Europe robotics market moving! 🇪🇺 And yes I know this is news from mid-January, sometimes you have to be like Internet Explorer! Their product lineup includes collaborative arms, autonomous mobile robots, and humanoids. The funding will support new product development and the growth of its Neuraverse ecosystem, an operating system and marketplace for robotic skills. David Reger believes cognitive robots could become bigger than smartphones, with NEURA leading the way as Germany’s only humanoid robotics company. You can meet this and many other robots at the internationalhumanoidforum in Biel on the 20th & 21st of February! 🇨🇭 I also will be there, and I am happy to talk about the future of robotics!

Lukas Ziegler

46,521 次观看 • 1 年前

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).
1:07

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 次观看 • 3 个月前

Elon just dropped a MAJOR nugget on how Tesla is going to be training Optimus to do real world tasks. They are building an Optimus Academy, which is a large scale, dedicated real-world training facility to accelerate the development of Optimus. The Academy will deploy thousands of Optimus units, potentially 10,000 to 30,000 robots, in a controlled realistic environment where they perform self-play, experiment with tasks, iterate on behaviors, and continuously generate training data through trial and error. The Tesla bots will also run millions of simulations in Tesla’s high-fidelity physics-accurate engine, allowing Optimus to close the “sim-to-real gap” by using these real-world observations to refine and validate the simulations! “You’re actually highlighting an important limitation and difference from cars. We’ll soon have 10 million cars on the road. It’s hard to duplicate that massive training flywheel. For the robot, what we’re going to need to do is build a lot of robots and put them in kind of an Optimus Academy so they can do self-play in reality. We’re actually building that out. We can have at least 10,000 Optimus robots, maybe 20-30,000, that are doing self-play and testing different tasks. Tesla has quite a good reality generator, a physics-accurate reality generator, that we made for the cars. We’ll do the same thing for the robots. We actually have done that for the robots. So you have a few tens of thousands of humanoid robots doing different tasks. You can do millions of simulated robots in the simulated world. You use the tens of thousands of robots in the real world to close the simulation to reality gap. Close the sim-to-real gap.”
1:20

Elon just dropped a MAJOR nugget on how Tesla is going to be training Optimus to do real world tasks. They are building an Optimus Academy, which is a large scale, dedicated real-world training facility to accelerate the development of Optimus. The Academy will deploy thousands of Optimus units, potentially 10,000 to 30,000 robots, in a controlled realistic environment where they perform self-play, experiment with tasks, iterate on behaviors, and continuously generate training data through trial and error. The Tesla bots will also run millions of simulations in Tesla’s high-fidelity physics-accurate engine, allowing Optimus to close the “sim-to-real gap” by using these real-world observations to refine and validate the simulations! “You’re actually highlighting an important limitation and difference from cars. We’ll soon have 10 million cars on the road. It’s hard to duplicate that massive training flywheel. For the robot, what we’re going to need to do is build a lot of robots and put them in kind of an Optimus Academy so they can do self-play in reality. We’re actually building that out. We can have at least 10,000 Optimus robots, maybe 20-30,000, that are doing self-play and testing different tasks. Tesla has quite a good reality generator, a physics-accurate reality generator, that we made for the cars. We’ll do the same thing for the robots. We actually have done that for the robots. So you have a few tens of thousands of humanoid robots doing different tasks. You can do millions of simulated robots in the simulated world. You use the tens of thousands of robots in the real world to close the simulation to reality gap. Close the sim-to-real gap.”

Teslaconomics

42,563 次观看 • 6 个月前

I sat down with Brett Adcock, CEO and Founder of Figure AI, to discuss the future of humanoid robots. In less than three years since its inception, Figure has built versions 01 and 02 of their humanoids, developed a foundation model called Helix AI to reason like humans, shipped robots into the factories of their commercial customers, and is now valued at $39.5 billion according to their latest funding round. Brett is a founder who wants to win. In the podcast, we dive deeper into where that drive comes from, how he envisions the future of humanity if billions of robots walk the planet, and why he believes this is the single biggest opportunity of our lifetime. It was a privilege to visit the HQ and have the chance to speak with him. Occasionally during the podcast, you’ll see a Figure 02 walking autonomously behind us! It truly was a one-of-a-kind experience to be so close to the robots that will eventually be part of our everyday lives. Thank you Brett Adcock for taking the time & I'm so excited to follow your journey as you build one of the most important companies of our time. LFG. Timestamps below: 00:00 - Who Is Brett? 01:51 - The First Startup 05:46 - SaaS to DeepTech 07:21 - Why Robots? 13:50 - The Business of Humanoids 19:06 - The Role of Nvidia in Robots 20:31 - Training Models for Bots 20:21 - OpenAI Collaboration 29:26 - Is There A Chip on Brett's Shoulder? 31:15 - Culture at Figure 40:35 - Tesla's Humanoid Ambitions 50:45 - Rapid Fire
57:46

I sat down with Brett Adcock, CEO and Founder of Figure AI, to discuss the future of humanoid robots. In less than three years since its inception, Figure has built versions 01 and 02 of their humanoids, developed a foundation model called Helix AI to reason like humans, shipped robots into the factories of their commercial customers, and is now valued at $39.5 billion according to their latest funding round. Brett is a founder who wants to win. In the podcast, we dive deeper into where that drive comes from, how he envisions the future of humanity if billions of robots walk the planet, and why he believes this is the single biggest opportunity of our lifetime. It was a privilege to visit the HQ and have the chance to speak with him. Occasionally during the podcast, you’ll see a Figure 02 walking autonomously behind us! It truly was a one-of-a-kind experience to be so close to the robots that will eventually be part of our everyday lives. Thank you Brett Adcock for taking the time & I'm so excited to follow your journey as you build one of the most important companies of our time. LFG. Timestamps below: 00:00 - Who Is Brett? 01:51 - The First Startup 05:46 - SaaS to DeepTech 07:21 - Why Robots? 13:50 - The Business of Humanoids 19:06 - The Role of Nvidia in Robots 20:31 - Training Models for Bots 20:21 - OpenAI Collaboration 29:26 - Is There A Chip on Brett's Shoulder? 31:15 - Culture at Figure 40:35 - Tesla's Humanoid Ambitions 50:45 - Rapid Fire

amit

676,769 次观看 • 1 年前

The world today is built for humans, & cities built for cars... The world tomorrow will be built around the evolution of robotics. It was a pleasure hosting this week's Robotics episode of the Super Cycle Pod with Michael Cho - Rbt/Acc (BitRobot Network) & Nils of (Auki) have packed this full of insanely valuable insights: 0:00 - Intro + wen terminator? 5:13 - Robotics vs "GPT moment" 7:08 - Privacy in the world of robotics 11:40 - Web3 robotics + intro to frodobots / bitrobot 14:50 - Impact of $HNT on Michael and Nils 17:06 - Intro to $AUKI 19:26 - Why does dePIN as an investable asset suck? 25:36 - $AUKI community building philosophy 28:30 - Bitrobot mission w/ PhD researchers 31:40 - Bitrobot subnet structure 35:28 - Bitrobot value accrual + Impact 39:40 - $AUKI and proving people wrong 42:20 - Robotics is the biggest industry in the world 50:16 - Dangers of physical AI 55:25 - Human Philosophy in Physical AI 57:05 - How cities will change w/ robots 1:03:20 - Skills of the future 1:06:32 - Responsibility as innovators in robotics Where do you think we are in the robotics cycle? My DMs are open to teams wanting to chat about what they're building.
1:10:20

The world today is built for humans, & cities built for cars... The world tomorrow will be built around the evolution of robotics. It was a pleasure hosting this week's Robotics episode of the Super Cycle Pod with Michael Cho - Rbt/Acc (BitRobot Network) & Nils of (Auki) have packed this full of insanely valuable insights: 0:00 - Intro + wen terminator? 5:13 - Robotics vs "GPT moment" 7:08 - Privacy in the world of robotics 11:40 - Web3 robotics + intro to frodobots / bitrobot 14:50 - Impact of $HNT on Michael and Nils 17:06 - Intro to $AUKI 19:26 - Why does dePIN as an investable asset suck? 25:36 - $AUKI community building philosophy 28:30 - Bitrobot mission w/ PhD researchers 31:40 - Bitrobot subnet structure 35:28 - Bitrobot value accrual + Impact 39:40 - $AUKI and proving people wrong 42:20 - Robotics is the biggest industry in the world 50:16 - Dangers of physical AI 55:25 - Human Philosophy in Physical AI 57:05 - How cities will change w/ robots 1:03:20 - Skills of the future 1:06:32 - Responsibility as innovators in robotics Where do you think we are in the robotics cycle? My DMs are open to teams wanting to chat about what they're building.

0xSammy

60,470 次观看 • 8 个月前

China is living in the future and most people don't realize it. It's seen progress in the last few years that puts many western countries to shame. Transport: – Literally flying cars, Xpeng AeroHT – Hong Kong to Shenzhen in <15min by high speed rail – Autonomous vehicles with far more coverage than Waymo / Tesla – Drones deliver food to stations (Meituan) – Robots that pick up delivered food and take it to your door – 10 large EV manufacturers that make cheaper cars with higher range and more luxury, which come with lidar / L3 autonomous driving (BYD, Aito, Zeekr, Great Wall, etc) – Battery swapping infrastructure (Nio) – Huawei has its own OS – Owns large chunks of global supply chain for electronics Lifestyle: – Effectively zero crime because of mass camera and security surveillance. No theft, no litter. (yes, I know this is a major talking point of western media) – Functional public transport networks, with different cabins for different temperature – Affordable housing; even lower income teachers can live comfortably in big cities – Firefighting drones – Almost no homeless people or trash – Electric buses and scooters; quieter cities – Rolling police robots with disarming weapons Technology – Cheap humanoid robots – Elaborate drone shows in the sky – Self driving trucks – Robot cappuccino makers – Dark factories primarily run by robots Yes, like any country, there are plenty of issues too. But the rate of progress, supported by the govt and unburdened by regulation, is unparalleled. Everyone should spend more time learning a bit more by China, free from any pre-existing bias.
0:26

China is living in the future and most people don't realize it. It's seen progress in the last few years that puts many western countries to shame. Transport: – Literally flying cars, Xpeng AeroHT – Hong Kong to Shenzhen in <15min by high speed rail – Autonomous vehicles with far more coverage than Waymo / Tesla – Drones deliver food to stations (Meituan) – Robots that pick up delivered food and take it to your door – 10 large EV manufacturers that make cheaper cars with higher range and more luxury, which come with lidar / L3 autonomous driving (BYD, Aito, Zeekr, Great Wall, etc) – Battery swapping infrastructure (Nio) – Huawei has its own OS – Owns large chunks of global supply chain for electronics Lifestyle: – Effectively zero crime because of mass camera and security surveillance. No theft, no litter. (yes, I know this is a major talking point of western media) – Functional public transport networks, with different cabins for different temperature – Affordable housing; even lower income teachers can live comfortably in big cities – Firefighting drones – Almost no homeless people or trash – Electric buses and scooters; quieter cities – Rolling police robots with disarming weapons Technology – Cheap humanoid robots – Elaborate drone shows in the sky – Self driving trucks – Robot cappuccino makers – Dark factories primarily run by robots Yes, like any country, there are plenty of issues too. But the rate of progress, supported by the govt and unburdened by regulation, is unparalleled. Everyone should spend more time learning a bit more by China, free from any pre-existing bias.

Deedy

68,944 次观看 • 1 年前

Sam Altman Sam Altman joins Cosmo Jiang to discuss why proof of human is necessary in the age of AI. Mason Nystrom also joins to share why Pantera invested in World. In this episode, they cover: - AI is advancing faster than Sam expected. The need for proof of human has never been stronger. - Agents need to move money. Agentic payments are one of Sam's most personally exciting use cases. - Proof of human as a substrate: driver's licenses, education, and employment credentials all appended to a verified human identity. - Targeted advertising is the first massive use case as AI agents flood the internet. - Advertisers will pay a premium for verified human impressions. - World has 18 million verified humans today with 4 billion smartphone users as the addressable market. 01:27 Sam Altman's Keynote at World’s Lift-Off Event 02:12 Why World Was Built 03:48 Blockchain x AI 04:08 World ID Use Cases 04:47 World's Founding Vision 05:10 World ID Trajectory 05:50 Why Pantera Invested in World 06:45 Sam Altman Saw This Coming 07:10 Proof of Human at Scale 10:12 The Value of Digital Identity 11:11 Agents Need a Human in the Loop 11:42 Scaling to Billions of Users 12:53 Enterprise Partnerships
13:17

Sam Altman Sam Altman joins Cosmo Jiang to discuss why proof of human is necessary in the age of AI. Mason Nystrom also joins to share why Pantera invested in World. In this episode, they cover: - AI is advancing faster than Sam expected. The need for proof of human has never been stronger. - Agents need to move money. Agentic payments are one of Sam's most personally exciting use cases. - Proof of human as a substrate: driver's licenses, education, and employment credentials all appended to a verified human identity. - Targeted advertising is the first massive use case as AI agents flood the internet. - Advertisers will pay a premium for verified human impressions. - World has 18 million verified humans today with 4 billion smartphone users as the addressable market. 01:27 Sam Altman's Keynote at World’s Lift-Off Event 02:12 Why World Was Built 03:48 Blockchain x AI 04:08 World ID Use Cases 04:47 World's Founding Vision 05:10 World ID Trajectory 05:50 Why Pantera Invested in World 06:45 Sam Altman Saw This Coming 07:10 Proof of Human at Scale 10:12 The Value of Digital Identity 11:11 Agents Need a Human in the Loop 11:42 Scaling to Billions of Users 12:53 Enterprise Partnerships

Pantera Capital

254,387 次观看 • 3 个月前

The BeyHive takes things way too literal. “Beyoncé hates AI.” Do y’all realize AI is in everything? That automated reply from her site and CÉCRED’? Payment processing? That’s AI too. She doesn’t hate AI. She hates a specific type of AI, y’all just grouped them into one. It’s 2025. Hating AI without understanding it isn’t just ironic, it’s costly. Opportunities, jobs, side hustles, content, business tools, they’re all being shaped by AI. If you’re still treating AI like it’s just ChatGPT or robots, you’re playing yourself out of relevance… and income. It’s like hating the internet in 2010. AI won’t replace jobs, it will replace those who don’t know how to use it.
0:35

The BeyHive takes things way too literal. “Beyoncé hates AI.” Do y’all realize AI is in everything? That automated reply from her site and CÉCRED’? Payment processing? That’s AI too. She doesn’t hate AI. She hates a specific type of AI, y’all just grouped them into one. It’s 2025. Hating AI without understanding it isn’t just ironic, it’s costly. Opportunities, jobs, side hustles, content, business tools, they’re all being shaped by AI. If you’re still treating AI like it’s just ChatGPT or robots, you’re playing yourself out of relevance… and income. It’s like hating the internet in 2010. AI won’t replace jobs, it will replace those who don’t know how to use it.

IChooseViolence

419,696 次观看 • 1 年前

Meet Zippy, the Robotic Chef: - Used in kitchens by Michelin-star chefs - Trained on over 5 million recipes - Learns new recipes from a single demonstration - Easy to integrate into commercial kitchens Zippy’s system uses multi-modal perception and heat transfer modeling to adapt to ingredient and appliance variations, similar to how an expert chef would. It operates with a mix of autonomy and remote control to handle new scenarios and improve over time. Video source: CloudChef / Zippy #robotics #technology #engineering #stem #innovation #robots #automation ————————————— Stay ahead of the curve in engineering! Follow the topics that inspire you on Wevolver and get a custom weekly digest packed with cutting-edge content! Follow now:
0:20

Meet Zippy, the Robotic Chef: - Used in kitchens by Michelin-star chefs - Trained on over 5 million recipes - Learns new recipes from a single demonstration - Easy to integrate into commercial kitchens Zippy’s system uses multi-modal perception and heat transfer modeling to adapt to ingredient and appliance variations, similar to how an expert chef would. It operates with a mix of autonomy and remote control to handle new scenarios and improve over time. Video source: CloudChef / Zippy #robotics #technology #engineering #stem #innovation #robots #automation ————————————— Stay ahead of the curve in engineering! Follow the topics that inspire you on Wevolver and get a custom weekly digest packed with cutting-edge content! Follow now:

Wevolver

25,869 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.
1:06

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

The "prompt-to-production" flow is already a reality. I hope that in the foreseeable future, we will be able to "prompt-to-real estate" as well, with robots building a complete building from the ground up. For now, it is still too futuristic, but Drafted has already automated the "prompt-to-home-design" step. > Drafted AI has a tool that lets you generate your dream house for FREE and export its detailed rendering. > Users can remix existing designs from the explore section or start from scratch. All the details can be customized. I need a new house now 👀
0:39

The "prompt-to-production" flow is already a reality. I hope that in the foreseeable future, we will be able to "prompt-to-real estate" as well, with robots building a complete building from the ground up. For now, it is still too futuristic, but Drafted has already automated the "prompt-to-home-design" step. > Drafted AI has a tool that lets you generate your dream house for FREE and export its detailed rendering. > Users can remix existing designs from the explore section or start from scratch. All the details can be customized. I need a new house now 👀

🚨 AI News | TestingCatalog

24,348 次观看 • 3 个月前

.travis kalanick on the vision for Atoms in food: meals made and delivered by robots that approach the cost of grocery shopping. "Mission on the food side is infrastructure for better food. Industrial real estate for broad manufacturing and distribution of super high-quality meals, automated production, robotics to make it, and robotic couriers to move it to your house, so efficient it approaches the cost of going to the grocery store." "We know that in 100 years there'll be robots that make food, it'll be like The Jetsons. Most people would say, of course, in 20 years. The real question is, is it five or is it 10?" "When robots are doing it, you get exactly to the gram what you asked for. I can imagine people doing blood work and then getting a meal plan, and it will be exactly as it should be." "We're in 30 countries, several hundred facilities, no more than 15 minutes away from anybody in the major cities. Our robots right now can make any bowl, but eventually it's just any meal. Why wouldn't you pay $8 or $10 for a meal that's prepared and delivered, super high quality, exactly to the gram, and gives you your time back?"
2:23

.travis kalanick on the vision for Atoms in food: meals made and delivered by robots that approach the cost of grocery shopping. "Mission on the food side is infrastructure for better food. Industrial real estate for broad manufacturing and distribution of super high-quality meals, automated production, robotics to make it, and robotic couriers to move it to your house, so efficient it approaches the cost of going to the grocery store." "We know that in 100 years there'll be robots that make food, it'll be like The Jetsons. Most people would say, of course, in 20 years. The real question is, is it five or is it 10?" "When robots are doing it, you get exactly to the gram what you asked for. I can imagine people doing blood work and then getting a meal plan, and it will be exactly as it should be." "We're in 30 countries, several hundred facilities, no more than 15 minutes away from anybody in the major cities. Our robots right now can make any bowl, but eventually it's just any meal. Why wouldn't you pay $8 or $10 for a meal that's prepared and delivered, super high quality, exactly to the gram, and gives you your time back?"

MTS

10,966 次观看 • 19 天前

🚨 BREAKING: Swiss startup mimic just raised €13.8M to teach robots the one thing they still struggle with human-like dexterity. 🇨🇭 The Zurich-based company is developing physical AI systems that allow robots to learn directly from human demonstrations. Skilled operators wear custom motion-tracking gear on real factory floors, generating data that trains robots to grasp, move, and adapt with human precision. Founded in 2024 as a spin-off from ETH Zurich, mimic pairs AI-driven dexterous robotic hands with standard industrial robot arms, skipping the humanoid form factor in favor of practical, deployable automation. The oversubscribed seed round was led by Elaia with participation from Speedinvest, Founderful, 1st Kind, 10x Founders, 2100 Ventures, and the Sequoia Scout Fund, bringing total funding to over $20M. Their technology is already being piloted with Fortune 500 manufacturers and logistics operators, where robots are learning complex manipulation tasks once reserved for humans. Why it matters: Europe is stepping up in the AI robotics race. By making dexterity scalable, mimic bridges the gap between lab breakthroughs and real factory deployment, where automation still meets its hardest challenges. As CEO Stefan Weirich put it: “We make dexterity deployable at scale, closing the gap between what AI can do in the lab and what factories actually need.” Let's go robotics in Europe! 🔥
0:26

🚨 BREAKING: Swiss startup mimic just raised €13.8M to teach robots the one thing they still struggle with human-like dexterity. 🇨🇭 The Zurich-based company is developing physical AI systems that allow robots to learn directly from human demonstrations. Skilled operators wear custom motion-tracking gear on real factory floors, generating data that trains robots to grasp, move, and adapt with human precision. Founded in 2024 as a spin-off from ETH Zurich, mimic pairs AI-driven dexterous robotic hands with standard industrial robot arms, skipping the humanoid form factor in favor of practical, deployable automation. The oversubscribed seed round was led by Elaia with participation from Speedinvest, Founderful, 1st Kind, 10x Founders, 2100 Ventures, and the Sequoia Scout Fund, bringing total funding to over $20M. Their technology is already being piloted with Fortune 500 manufacturers and logistics operators, where robots are learning complex manipulation tasks once reserved for humans. Why it matters: Europe is stepping up in the AI robotics race. By making dexterity scalable, mimic bridges the gap between lab breakthroughs and real factory deployment, where automation still meets its hardest challenges. As CEO Stefan Weirich put it: “We make dexterity deployable at scale, closing the gap between what AI can do in the lab and what factories actually need.” Let's go robotics in Europe! 🔥

Lukas Ziegler

77,152 次观看 • 9 个月前

You can now operate robots by just thinking about it. With your brain signals. WOW. This robot system from Stanford has so much sci-fi vibe and wild implications that I don't even know where to start. NOIR decodes the EEG signal from your head into a library of robot skills. It is demonstrated on 20 household activities, such as cooking Sukiyaki, ironing clothes, grating cheese, playing Tic-Tac-Toe, and even petting a robot dog! NOIR learns to predict your intended goals in advance, so that your thinking efforts (literally) can be reduced to a minimum. It works with both adults and children as young as five years old. Imagine scaling up this system to Neuralink + Humanoid robots like Tesla Optimus in the future! There's now a decent probability that we can see the movie Avatar become a reality in our lifetime. Website: Paper: This work is from Stanford Vision Lab, my PhD home. The project is led by Ruohan Zhang and advised by Fei-Fei Li Jiajun Wu. Congrats on the phenomenal idea!
0:33

You can now operate robots by just thinking about it. With your brain signals. WOW. This robot system from Stanford has so much sci-fi vibe and wild implications that I don't even know where to start. NOIR decodes the EEG signal from your head into a library of robot skills. It is demonstrated on 20 household activities, such as cooking Sukiyaki, ironing clothes, grating cheese, playing Tic-Tac-Toe, and even petting a robot dog! NOIR learns to predict your intended goals in advance, so that your thinking efforts (literally) can be reduced to a minimum. It works with both adults and children as young as five years old. Imagine scaling up this system to Neuralink + Humanoid robots like Tesla Optimus in the future! There's now a decent probability that we can see the movie Avatar become a reality in our lifetime. Website: Paper: This work is from Stanford Vision Lab, my PhD home. The project is led by Ruohan Zhang and advised by Fei-Fei Li Jiajun Wu. Congrats on the phenomenal idea!

Jim Fan

378,309 次观看 • 2 年前