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Pretty human-like hand Beijing-based SynapX will unveil its tendon-driven OctoH-Hand at WRC. Human-scale in size, the hand uses a hybrid architecture combining fully tendon-driven actuation with direct-drive motors in the forearm. It integrates 28 independently controllable actuators and 23 active DoF, along with tactile sensors embedded in the palm.... show more

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52,347 views • 1 month ago •via X (Twitter)

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.Xynova is one of the top rising players in China’s dexterous hand and humanoid robot components space, based in Hangzhou • They develop not only the hands but also all core components (linear actuators, motors, etc) and algorithms fully in-house • They use a hybrid drive system, combining tendon-driven and direct-drive methods • One of the most exciting features is wrist control and finger abduction/adduction, delivering much more natural hand and arm dexterity • They prevent the hand from overheating by placing one of the actuators in the arm (below the palm) • Hands are equipped with tactile sensors and lidars, with 23 DoF (human hands have ~27 DoF) The overall design is deeply inspired by real human hand and arm muscle movements, impressive biomimicry approach The Humanoid Hub and I interviewed their tech lead so stay tuned for more technical details!

.Xynova is one of the top rising players in China’s dexterous hand and humanoid robot components space, based in Hangzhou • They develop not only the hands but also all core components (linear actuators, motors, etc) and algorithms fully in-house • They use a hybrid drive system, combining tendon-driven and direct-drive methods • One of the most exciting features is wrist control and finger abduction/adduction, delivering much more natural hand and arm dexterity • They prevent the hand from overheating by placing one of the actuators in the arm (below the palm) • Hands are equipped with tactile sensors and lidars, with 23 DoF (human hands have ~27 DoF) The overall design is deeply inspired by real human hand and arm muscle movements, impressive biomimicry approach The Humanoid Hub and I interviewed their tech lead so stay tuned for more technical details!

Lena

59,121 views • 3 months ago

Elon Musk has repeatedly highlighted the hand (and forearm) as one of the toughest engineering challenges for Tesla’s Optimus Robot. A new Patent (for presumably Optimus 3) shows Tesla is using human anatomy to recreate a tendon-driven robotic hand and forearm assembly that closely mimics a human system. Basically, Tesla is replacing human muscles with actuators and tendons with cables to replicate human dexterity. The Tesla Engineering team is on another level. Optimus Gen 3 reveal is going to be incredible.

Elon Musk has repeatedly highlighted the hand (and forearm) as one of the toughest engineering challenges for Tesla’s Optimus Robot. A new Patent (for presumably Optimus 3) shows Tesla is using human anatomy to recreate a tendon-driven robotic hand and forearm assembly that closely mimics a human system. Basically, Tesla is replacing human muscles with actuators and tendons with cables to replicate human dexterity. The Tesla Engineering team is on another level. Optimus Gen 3 reveal is going to be incredible.

Nic Cruz Patane

93,416 views • 5 months ago

Super excited to visit WUJI who's pushing the frontier with their advanced dexterous robotic hand Most traditional robotic hands still rely on tendons/cables, but Wuji Hand uses direct-drive actuators embedded right in the fingers with worm gears. This solves the usual tendon problems by delivering smoother, more precise, and reliable motion with way less sim-to-real gap It also has high dexterity with 20 active degrees of freedom and the weight/size feel almost exactly like an adult human hand Got to test the newly launched Wuji Hand 2 today and was super fascinated! (watch how I handle the hand in the first video😂)

Super excited to visit WUJI who's pushing the frontier with their advanced dexterous robotic hand Most traditional robotic hands still rely on tendons/cables, but Wuji Hand uses direct-drive actuators embedded right in the fingers with worm gears. This solves the usual tendon problems by delivering smoother, more precise, and reliable motion with way less sim-to-real gap It also has high dexterity with 20 active degrees of freedom and the weight/size feel almost exactly like an adult human hand Got to test the newly launched Wuji Hand 2 today and was super fascinated! (watch how I handle the hand in the first video😂)

Lena

47,496 views • 3 months ago

Tactile interaction in the wild can unlock fine-grained manipulation! 🌿🤖✋ We built a portable handheld tactile gripper that enables large-scale visuo-tactile data collection in real-world settings. By pretraining on this data, we bridge vision and touch—allowing robots to: ✅ Perform robust in-hand reorientation ✅ Control contact and force with precision 🔗 Project page: (1/6)

Tactile interaction in the wild can unlock fine-grained manipulation! 🌿🤖✋ We built a portable handheld tactile gripper that enables large-scale visuo-tactile data collection in real-world settings. By pretraining on this data, we bridge vision and touch—allowing robots to: ✅ Perform robust in-hand reorientation ✅ Control contact and force with precision 🔗 Project page: (1/6)

Binghao Huang ✈️IROS

79,287 views • 1 year ago

Live from World Robot Conference 2026 in Beijing: ROBOTERA is showcasing teleoperation of the XHAND 1 Pro dexterous hand with MANUS™ gloves. Video 1: a ROBOTERA operator demonstrates high-precision teleoperation. Video 2: a visitor tries the setup without first running a user-specific calibration, yet the teleoperation remains stable, smooth, and responsive. With 21 active degrees of freedom, fully direct-drive actuation, and integrated tactile sensing, XHAND 1 Pro is built for advanced robotic manipulation and embodied intelligence research. MANUS provides high-fidelity, low-latency hand motion data as real-time input for robot control. #WRC2026 #robotics #humanoids #teleoperation #PhysicalAI

Live from World Robot Conference 2026 in Beijing: ROBOTERA is showcasing teleoperation of the XHAND 1 Pro dexterous hand with MANUS™ gloves. Video 1: a ROBOTERA operator demonstrates high-precision teleoperation. Video 2: a visitor tries the setup without first running a user-specific calibration, yet the teleoperation remains stable, smooth, and responsive. With 21 active degrees of freedom, fully direct-drive actuation, and integrated tactile sensing, XHAND 1 Pro is built for advanced robotic manipulation and embodied intelligence research. MANUS provides high-fidelity, low-latency hand motion data as real-time input for robot control. #WRC2026 #robotics #humanoids #teleoperation #PhysicalAI

MANUS™

11,998 views • 1 month ago

Sharpa Robotics Sharpa observed that teleoperating a dual hand robot offering a combined 63 DoF is a nightmare, even for an experienced operator. They offer a two fold solution: - a VLA that handles "in hand rotation" (like the apple in video below), that the operator can trigger using a foot pedal. - a Mixture-of-Dexterous-Experts that fuses tactile sensing data. Interestingly enough, the first model handles the apple peeling end-to-end, tactile data does not help here. However, it greatly enhances the insertion and grasping of the apple. This research makes use of the SharpaWave 22-DoF dexterous hand, with force and tactile feedback on all ten fingertips. I find it interesting that is now possible to delegate complex low-level finger coordination tasks to RL-trained atomic skills. Optimizing such steps that are difficult to reproduce in teleoperation significantly helps overcoming the data acquisition bottleneck.

Sharpa Robotics Sharpa observed that teleoperating a dual hand robot offering a combined 63 DoF is a nightmare, even for an experienced operator. They offer a two fold solution: - a VLA that handles "in hand rotation" (like the apple in video below), that the operator can trigger using a foot pedal. - a Mixture-of-Dexterous-Experts that fuses tactile sensing data. Interestingly enough, the first model handles the apple peeling end-to-end, tactile data does not help here. However, it greatly enhances the insertion and grasping of the apple. This research makes use of the SharpaWave 22-DoF dexterous hand, with force and tactile feedback on all ten fingertips. I find it interesting that is now possible to delegate complex low-level finger coordination tasks to RL-trained atomic skills. Optimizing such steps that are difficult to reproduce in teleoperation significantly helps overcoming the data acquisition bottleneck.

Léo

51,890 views • 2 months ago

Interestingly, Xynova’s technological approach shares the same origins as the dexterous hand technology used in Optimus v3 (though Elon has noted that this design still needs further refinement). The Flex2 is an upgraded version built on the Flex1: v1 featured 25 DOF and used a cable-driven system; the v2 introduces direct drive, which reduces the DOF to 23 but also sheds 400g in weight. It seems a hybrid drive mechanism may be the more practical solution. In March this year, following the successful completion of its Series A funding round (with investors including Xiaomi and others), this robotics company--founded in 2024--began construction of a large-scale production facility. Spanning over 5,000 square meters, the base is designed to achieve an annual output of 200,000 miniature electric cylinders and 10,000 dexterous hands. However, hardware alone is far from enough. A truly capable dexterous hand must be the result of the co-evolution of data, models, and the physical hardware. In other words, in addition to mass production, Xynova is simultaneously developing a complete integrated system that combines perception capabilities, robotic manipulation intelligence, and hand-specific coordination. This is essentially a foundational robotic module. Yet its applications go far beyond that. It can be directly adapted to industrial robotic arms on production lines, as well as integrated into the bodies of humanoid robots. That said, what I’m most eager to see is its use in advanced bionic prosthetics for humans. If it can successfully demonstrate this expanded capability, its impact will reach well beyond the realm of humanoid robots. (Cyborg)

Interestingly, Xynova’s technological approach shares the same origins as the dexterous hand technology used in Optimus v3 (though Elon has noted that this design still needs further refinement). The Flex2 is an upgraded version built on the Flex1: v1 featured 25 DOF and used a cable-driven system; the v2 introduces direct drive, which reduces the DOF to 23 but also sheds 400g in weight. It seems a hybrid drive mechanism may be the more practical solution. In March this year, following the successful completion of its Series A funding round (with investors including Xiaomi and others), this robotics company--founded in 2024--began construction of a large-scale production facility. Spanning over 5,000 square meters, the base is designed to achieve an annual output of 200,000 miniature electric cylinders and 10,000 dexterous hands. However, hardware alone is far from enough. A truly capable dexterous hand must be the result of the co-evolution of data, models, and the physical hardware. In other words, in addition to mass production, Xynova is simultaneously developing a complete integrated system that combines perception capabilities, robotic manipulation intelligence, and hand-specific coordination. This is essentially a foundational robotic module. Yet its applications go far beyond that. It can be directly adapted to industrial robotic arms on production lines, as well as integrated into the bodies of humanoid robots. That said, what I’m most eager to see is its use in advanced bionic prosthetics for humans. If it can successfully demonstrate this expanded capability, its impact will reach well beyond the realm of humanoid robots. (Cyborg)

CyberRobo

45,071 views • 5 months ago

TESLA’S NEXT-GEN OPTIMUS V3 HAND IS GETTING CLOSE TO HUMAN-LEVEL Tesla engineers just shared new details on the Optimus V3 hand — and the progress is striking. They’re now saying that as they move into Gen-3 and mass production, the hand is getting very close to human functionality and form factor. One engineer described it clearly: “It won’t even look like a robot. It will look like a human in a superhero suit. It will be something revolutionary.” This level of dexterity and human-like design is a critical milestone. The hand is one of the hardest parts of building a truly useful humanoid robot — and Tesla is iterating extremely fast.

TESLA’S NEXT-GEN OPTIMUS V3 HAND IS GETTING CLOSE TO HUMAN-LEVEL Tesla engineers just shared new details on the Optimus V3 hand — and the progress is striking. They’re now saying that as they move into Gen-3 and mass production, the hand is getting very close to human functionality and form factor. One engineer described it clearly: “It won’t even look like a robot. It will look like a human in a superhero suit. It will be something revolutionary.” This level of dexterity and human-like design is a critical milestone. The hand is one of the hardest parts of building a truly useful humanoid robot — and Tesla is iterating extremely fast.

Tesla Owners Silicon Valley

252,275 views • 3 months ago

Robots don’t just need better brains. They need WAY more real-world data. 🤖 And collecting high-quality dexterous robot data at scale is one of the hardest problems in physical AI. A fascinating approach is emerging: Wearable human demonstrations + structurally matched dexterous robots. Instead of humans directly teleoperating a robot, Chinese embodied AI startup X Square Robot's TwinDEX system captures the motion, contact, and visual information needed to train the robot — while keeping the data closer to the hardware that will actually execute the task. Early results show promising performance on tool use, fine manipulation, and complex contact-rich tasks. If this approach scales, it could change how we build real-world robotics datasets. The next frontier of physical AI might not be bigger models. It might be better data.

Robots don’t just need better brains. They need WAY more real-world data. 🤖 And collecting high-quality dexterous robot data at scale is one of the hardest problems in physical AI. A fascinating approach is emerging: Wearable human demonstrations + structurally matched dexterous robots. Instead of humans directly teleoperating a robot, Chinese embodied AI startup X Square Robot's TwinDEX system captures the motion, contact, and visual information needed to train the robot — while keeping the data closer to the hardware that will actually execute the task. Early results show promising performance on tool use, fine manipulation, and complex contact-rich tasks. If this approach scales, it could change how we build real-world robotics datasets. The next frontier of physical AI might not be bigger models. It might be better data.

The Daily Ai

33,341 views • 1 month ago

Pi Ventures Joins Hack VC To Back AI Robotics Startup On Base Axis Robotics (Axis Robotics) has raised a $12 million seed round led by Hack VC, with participation from Pi Network (Pi Network) Ventures, Nomad Capital, 10K Ventures, and other angel investors. The company is building a data engine for Physical AI that combines simulation, real world data capture, and human feedback to generate scalable robotics datasets. Axis said the funding will accelerate development of its global human in the loop data engine. Base (Base APAC) congratulated the team, calling Axis one of the leading scalable Physical AI and robotics platforms building on the network.

Pi Ventures Joins Hack VC To Back AI Robotics Startup On Base Axis Robotics (Axis Robotics) has raised a $12 million seed round led by Hack VC, with participation from Pi Network (Pi Network) Ventures, Nomad Capital, 10K Ventures, and other angel investors. The company is building a data engine for Physical AI that combines simulation, real world data capture, and human feedback to generate scalable robotics datasets. Axis said the funding will accelerate development of its global human in the loop data engine. Base (Base APAC) congratulated the team, calling Axis one of the leading scalable Physical AI and robotics platforms building on the network.

BSCN

51,792 views • 2 months ago

New robot hands just dropped! But it seems to be missing a couple fingers. Tacta Systems Tacta Systems is a Palo Alto robotics startup that just came out of stealth, and raised with $75M and a dexterity platform, TactaBot, aimed at high-value manufacturing. TactaBot has three parts: - the Tacta Hand -> a human-scale robotic hand with 15 independently actuated joints, proprietary "Fluidic Tendon" actuation, pitched as reliable for millions of factory cycles. - the Tacta Sensor -> a tiny tactile sensor reading force from 250 Pa to 700,000 Pa, sampling at 400 Hz, resolving temperature to 0.1 °C. - Skill Capture -> a data system built around the Tacta Glove. It contains the same sensor embedded in a glove that factory workers wear. Sounds similar to what mimic is doing! Except with 3 fingers instead of 5. Tacta's vision sees 3 fingers as more than enough to complete all tasks, and less complex to simulate than 5. My opinion: Tacta is very strong at semiconductor/MEMS, their moat lies in their ability to manufacture their touch sensor as large as a grain of sand, not the hand or the model. One caveat though: there is no detail nor explanation of how the 5 finger data acquisition glove maps to the 3 finger hand -> I would love to learn more about it! This is where the interesting part of the tech is imho. If this does not work, then nothing does. Still, I have to admit it looks very cool, slick, and minimal, I love it:

New robot hands just dropped! But it seems to be missing a couple fingers. Tacta Systems Tacta Systems is a Palo Alto robotics startup that just came out of stealth, and raised with $75M and a dexterity platform, TactaBot, aimed at high-value manufacturing. TactaBot has three parts: - the Tacta Hand -> a human-scale robotic hand with 15 independently actuated joints, proprietary "Fluidic Tendon" actuation, pitched as reliable for millions of factory cycles. - the Tacta Sensor -> a tiny tactile sensor reading force from 250 Pa to 700,000 Pa, sampling at 400 Hz, resolving temperature to 0.1 °C. - Skill Capture -> a data system built around the Tacta Glove. It contains the same sensor embedded in a glove that factory workers wear. Sounds similar to what mimic is doing! Except with 3 fingers instead of 5. Tacta's vision sees 3 fingers as more than enough to complete all tasks, and less complex to simulate than 5. My opinion: Tacta is very strong at semiconductor/MEMS, their moat lies in their ability to manufacture their touch sensor as large as a grain of sand, not the hand or the model. One caveat though: there is no detail nor explanation of how the 5 finger data acquisition glove maps to the 3 finger hand -> I would love to learn more about it! This is where the interesting part of the tech is imho. If this does not work, then nothing does. Still, I have to admit it looks very cool, slick, and minimal, I love it:

Léo

15,474 views • 2 months ago

TESLA HALTED MODEL S AND MODEL X PRODUCTION TO BUILD AN ARMY OF OPTIMUS ROBOTS The Fremont assembly line was torn down in 46 days. In its place, Tesla is building a line for humanoid production, aiming for a million units a year A humanoid robot is a body shaped like a human. Physical AI is the intelligence that controls that body Walking and making coffee is often just imitation learning from a scripted routine. But once the environment shifts, the learned trick stops working Language models had the entire internet to train on. Robotics has nothing close to that scale of data, which is why one giant brain hasn't worked for anyone yet The industry is moving toward modularity instead - separate models for vision, movement, and planning, each improved on its own The real question is no longer whether a robot can move impressively. It's whether it can pull its sensors into one picture of the world and adapt to whatever wasn't scripted for it

TESLA HALTED MODEL S AND MODEL X PRODUCTION TO BUILD AN ARMY OF OPTIMUS ROBOTS The Fremont assembly line was torn down in 46 days. In its place, Tesla is building a line for humanoid production, aiming for a million units a year A humanoid robot is a body shaped like a human. Physical AI is the intelligence that controls that body Walking and making coffee is often just imitation learning from a scripted routine. But once the environment shifts, the learned trick stops working Language models had the entire internet to train on. Robotics has nothing close to that scale of data, which is why one giant brain hasn't worked for anyone yet The industry is moving toward modularity instead - separate models for vision, movement, and planning, each improved on its own The real question is no longer whether a robot can move impressively. It's whether it can pull its sensors into one picture of the world and adapt to whatever wasn't scripted for it

iamigorekk

22,205 views • 1 month ago

Physical AI is taking humanoid robots beyond scripts and into the real world. 🌍 Join Spencer Huang at #NVIDIAGTC Taipei for a technical look at end-to-end workflows for building general-purpose humanoid robots, from data collection all the way to deployment on hardware. 📅Thursday, June 4, 2026 | 10:30 AM CST 📍TICC Add to calendar:

Physical AI is taking humanoid robots beyond scripts and into the real world. 🌍 Join Spencer Huang at #NVIDIAGTC Taipei for a technical look at end-to-end workflows for building general-purpose humanoid robots, from data collection all the way to deployment on hardware. 📅Thursday, June 4, 2026 | 10:30 AM CST 📍TICC Add to calendar:

NVIDIA Robotics

12,410 views • 5 months ago

A Gaussian Splat can become a world where Robots and AI agents can act. In our latest OVER Research experiment, we placed a robot inside a real-world 3D capture, with a VLM making decisions based on what it sees. At every step, the robot holds a pose in the reconstruction, gets a newly rendered view of the environment, takes an action, moves, and sees the world again from its new position. Why does this matter? Because 3D captures can become more than reconstructions to explore. They can become environments where embodied AI and robots can navigate, act, be evaluated and eventually train across real-world spaces at scale. Capture a place once. Then turn it into a world where AI and Robots can act. The full experiment, including what we discovered once we actually put the loop to the test:

A Gaussian Splat can become a world where Robots and AI agents can act. In our latest OVER Research experiment, we placed a robot inside a real-world 3D capture, with a VLM making decisions based on what it sees. At every step, the robot holds a pose in the reconstruction, gets a newly rendered view of the environment, takes an action, moves, and sees the world again from its new position. Why does this matter? Because 3D captures can become more than reconstructions to explore. They can become environments where embodied AI and robots can navigate, act, be evaluated and eventually train across real-world spaces at scale. Capture a place once. Then turn it into a world where AI and Robots can act. The full experiment, including what we discovered once we actually put the loop to the test:

Over the Reality 🌐

15,316 views • 1 month ago

46 AXES. A FULL-BODY TOUCH SYSTEM. THIS HUMANOID IS BUILT TO FEEL CONTACT, NOT JUST COPY MOVEMENT! Watch the arms rise. The movement looks simple, but the interesting part is what sits behind it: a human-shaped machine designed around more than walking or waving. Vita Robotics says its bionic humanoid uses a 46-axis motion architecture, split into 23 axes in the body and 23 in the head, giving it a much wider range of movement than a basic display robot. The company also describes a full-body flexible tactile skin system, designed to detect touch and trigger physical responses. That changes the idea of what a humanoid is supposed to do: instead of only executing a programmed gesture, it is being built to react when a person interacts with it. And that is the bigger race in robotics. Making a machine move is one challenge; making it move naturally, respond to contact and behave consistently around people is another. 46 axes are not just a spec sheet. They are 46 ways for a machine to become more expressive, more responsive and harder to distinguish from a static prop.

46 AXES. A FULL-BODY TOUCH SYSTEM. THIS HUMANOID IS BUILT TO FEEL CONTACT, NOT JUST COPY MOVEMENT! Watch the arms rise. The movement looks simple, but the interesting part is what sits behind it: a human-shaped machine designed around more than walking or waving. Vita Robotics says its bionic humanoid uses a 46-axis motion architecture, split into 23 axes in the body and 23 in the head, giving it a much wider range of movement than a basic display robot. The company also describes a full-body flexible tactile skin system, designed to detect touch and trigger physical responses. That changes the idea of what a humanoid is supposed to do: instead of only executing a programmed gesture, it is being built to react when a person interacts with it. And that is the bigger race in robotics. Making a machine move is one challenge; making it move naturally, respond to contact and behave consistently around people is another. 46 axes are not just a spec sheet. They are 46 ways for a machine to become more expressive, more responsive and harder to distinguish from a static prop.

Future Memo

105,668 views • 13 days ago

From seeing → to understanding → to following → now to finding. In the last update, our robot learned how to recognize and follow people SR Agentic now evolves from human-following → to goal-driven object search. Give it a task like: → “find the white bottle on the table ” It will: • break down the instruction via LLM task planning • scan the environment in real-time • localize the object in 3D space • navigate and approach autonomously Step by step, capability by capability — from perception → to tracking → to task execution in the physical world. This is how real-world agentic robotics is built

From seeing → to understanding → to following → now to finding. In the last update, our robot learned how to recognize and follow people SR Agentic now evolves from human-following → to goal-driven object search. Give it a task like: → “find the white bottle on the table ” It will: • break down the instruction via LLM task planning • scan the environment in real-time • localize the object in 3D space • navigate and approach autonomously Step by step, capability by capability — from perception → to tracking → to task execution in the physical world. This is how real-world agentic robotics is built

Strike Robot

22,038 views • 6 months ago

In the future, it might just be humanoid robots doing the refueling!🤖⛽️ Sinopec plans to introduce humanoid robot workers across its gas stations. They will handle tasks like fueling, picking up items, restocking, and inspections,working alongside human staff, especially during peak holiday periods in China to ease service pressure. With more than 30,000 gas stations across the country (most of them equipped with convenience stores), this implies a deployment of at least 30,000 humanoid robots. The robot is a wheeled humanoid developed by Beijing-based company FIVEAGES.

In the future, it might just be humanoid robots doing the refueling!🤖⛽️ Sinopec plans to introduce humanoid robot workers across its gas stations. They will handle tasks like fueling, picking up items, restocking, and inspections,working alongside human staff, especially during peak holiday periods in China to ease service pressure. With more than 30,000 gas stations across the country (most of them equipped with convenience stores), this implies a deployment of at least 30,000 humanoid robots. The robot is a wheeled humanoid developed by Beijing-based company FIVEAGES.

CyberRobo

23,536 views • 5 months ago

Figure is aiming to develop the world’s largest and most diverse real-world humanoid pretraining dataset. For this purpose, they’re partnering with Brookfield, a global asset manager overseeing $1 trillion in assets, including 100,000 residential units, 500M square feet of commercial office space, and 160M square feet of logistics space. The data collected from this collaboration will be used to train Figure’s Helix AI model, enabling humanoids to perform tasks autonomously in real-world environments designed for humans. In addition to data collection, the partnership will explore support for next-generation GPU data centers, real estate for robotic training environments, and commercial use cases across Brookfield’s global footprint.

Figure is aiming to develop the world’s largest and most diverse real-world humanoid pretraining dataset. For this purpose, they’re partnering with Brookfield, a global asset manager overseeing $1 trillion in assets, including 100,000 residential units, 500M square feet of commercial office space, and 160M square feet of logistics space. The data collected from this collaboration will be used to train Figure’s Helix AI model, enabling humanoids to perform tasks autonomously in real-world environments designed for humans. In addition to data collection, the partnership will explore support for next-generation GPU data centers, real estate for robotic training environments, and commercial use cases across Brookfield’s global footprint.

The Humanoid Hub

88,600 views • 1 year ago

🦿Xpeng showed a humanoid robot called IRON whose movement looked so human that the team literally cut it open on stage to prove it is a machine. IRON uses a bionic body with a flexible spine, synthetic muscles, and soft skin so joints and torso can twist smoothly like a person. The system has 82 degrees of freedom in total with 22 in each hand for fine finger control. Compute runs on 3 custom AI chips rated at 2,250 TOPS (Tera Operations Per Second), which is far above typical laptop neural accelerators, so it can handle vision and motion planning on the robot. The AI stack focuses on turning camera input directly into body movement without routing through text, which reduces lag and makes the gait look natural. Xpeng staged the cut-open demo at AI Day in Guangzhou this week, addressing rumors that a performer was inside by exposing internal actuators, wiring, and cooling. Company materials also mention a large physical-world model and a multi-brain control setup for dialogue, perception, and locomotion, hinting at a path from stage demos to service work. Production is targeted for 2026, so near-term tasks will be limited, but the hardware shows a serious step toward human-scale manipulation.

🦿Xpeng showed a humanoid robot called IRON whose movement looked so human that the team literally cut it open on stage to prove it is a machine. IRON uses a bionic body with a flexible spine, synthetic muscles, and soft skin so joints and torso can twist smoothly like a person. The system has 82 degrees of freedom in total with 22 in each hand for fine finger control. Compute runs on 3 custom AI chips rated at 2,250 TOPS (Tera Operations Per Second), which is far above typical laptop neural accelerators, so it can handle vision and motion planning on the robot. The AI stack focuses on turning camera input directly into body movement without routing through text, which reduces lag and makes the gait look natural. Xpeng staged the cut-open demo at AI Day in Guangzhou this week, addressing rumors that a performer was inside by exposing internal actuators, wiring, and cooling. Company materials also mention a large physical-world model and a multi-brain control setup for dialogue, perception, and locomotion, hinting at a path from stage demos to service work. Production is targeted for 2026, so near-term tasks will be limited, but the hardware shows a serious step toward human-scale manipulation.

Rohan Paul

3,802,543 views • 11 months ago

🚀 My New Book is Here: Data Strategy (3rd Edition) 🚀 I’m thrilled to share the release of my latest bestselling book, Data Strategy: How to Use Data and Artificial Intelligence to Transform Your Business. Every business today needs data to survive - but simply having data is not enough. What matters is how you use it. A well-designed data strategy is the key to unlocking value, driving insights, and giving your organisation the competitive edge it needs to thrive in the digital economy. From small organisations to global enterprises, I’ve seen first-hand how a data-driven approach can transform operations, improve decision-making, and unlock entirely new opportunities. That’s why I’ve poured my experience into this book — to help leaders and teams build strategies that don’t just talk about data, but actually deliver measurable impact. 🔍 In this third edition, I’ve expanded the book to reflect the latest developments in data and AI, including: ✅ Generative AI and its role in shaping business innovation. ✅ Synthetic data and how it can accelerate AI adoption. ✅ The potential of quantum computing and what it means for the future of data. ✅ Expanded guidance on cybersecurity, regulations, and ethics in a data-driven world. This isn’t just a theoretical framework - it’s a practical guide to collecting, managing, and using data effectively in order to drive growth, innovation, and long-term success. Whether you’re leading a start-up or a multinational, Data Strategy will equip you with the tools you need to stay ahead in a rapidly evolving landscape. 📖 Pre-order your copy today: 👉 Amazon - 👉 Kogan Page - I can’t wait to hear how this book helps you craft your own data-driven strategy and transform your business for the future.

🚀 My New Book is Here: Data Strategy (3rd Edition) 🚀 I’m thrilled to share the release of my latest bestselling book, Data Strategy: How to Use Data and Artificial Intelligence to Transform Your Business. Every business today needs data to survive - but simply having data is not enough. What matters is how you use it. A well-designed data strategy is the key to unlocking value, driving insights, and giving your organisation the competitive edge it needs to thrive in the digital economy. From small organisations to global enterprises, I’ve seen first-hand how a data-driven approach can transform operations, improve decision-making, and unlock entirely new opportunities. That’s why I’ve poured my experience into this book — to help leaders and teams build strategies that don’t just talk about data, but actually deliver measurable impact. 🔍 In this third edition, I’ve expanded the book to reflect the latest developments in data and AI, including: ✅ Generative AI and its role in shaping business innovation. ✅ Synthetic data and how it can accelerate AI adoption. ✅ The potential of quantum computing and what it means for the future of data. ✅ Expanded guidance on cybersecurity, regulations, and ethics in a data-driven world. This isn’t just a theoretical framework - it’s a practical guide to collecting, managing, and using data effectively in order to drive growth, innovation, and long-term success. Whether you’re leading a start-up or a multinational, Data Strategy will equip you with the tools you need to stay ahead in a rapidly evolving landscape. 📖 Pre-order your copy today: 👉 Amazon - 👉 Kogan Page - I can’t wait to hear how this book helps you craft your own data-driven strategy and transform your business for the future.

Bernard Marr

10,980 views • 1 year ago