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Boston Dynamics has unveiled its next-gen humanoid robot hand. • 13 degrees of freedom (up from 7) • 4 fingers instead of 5 (eliminated pinky to reduce complexity, weight, power use, cost, and potential failure points) • 100lb+ combined payload • New 4-DOF opposable thumb with much more human-like... movement • Each of the other fingers has 3 DOF • In-hand manipulation, designed to reposition and manipulate objects within the hand • Tripod/tripolar grasps for holding objects securely while still manipulating them • Tactile pressure sensors across the fingertips and palm for detecting small contact forces • Improved proprioception, allowing Atlas to sense finger position, movement, and forces through the actuators • Backdrivable joints, allowing fingers to yield during impacts, improving durability and reducing potential gearbox damage • Directly actuated joints using a single actuator typeshow more

Sawyer Merritt

1,139,495 subscribers

113,745 Aufrufe • vor 15 Stunden •via X (Twitter)

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15 Kommentare

Profilbild von SmokehDaBear

SmokehDaBearvor 15 Stunden

While it is cool, I think V3 will put it to shame.

Profilbild von Sawyer Merritt

Sawyer Merrittvor 15 Stunden

I think so too

Profilbild von Norwegian Nerd

Norwegian Nerdvor 15 Stunden

4 fingers.. so in other words, not a Humanoid..

Profilbild von - julie crowder -

- julie crowder -vor 15 Stunden

The evolution of dexterous hands is too rapid; the era of embodied intelligence has arrived. In my following list, you and @haloliggins12 discuss cutting-edge technology most thoroughly; I love both of you.

Profilbild von Raven

Ravenvor 15 Stunden

The robot hand can manipulate objects in-hand. Humanity remains stuck opening jars with a towel

Profilbild von 🐋AURABOY🙏🏼IMMACULATE◻️🐋👑

🐋AURABOY🙏🏼IMMACULATE◻️🐋👑vor 15 Stunden

Great update as always. This robot hand brings a lot of value with its smart design.

Profilbild von Selling Options for Profit

Selling Options for Profitvor 15 Stunden

Ya but can it had out popcorn?

Profilbild von Overly Trev’s Future

Overly Trev’s Futurevor 15 Stunden

Solid progress, I want to see Optimus V3!

Profilbild von Eden Bitton

Eden Bittonvor 15 Stunden

BTW! Every product team should study the pinky decision. Cutting the feature everyone expects is harder than adding six new ones.

Profilbild von Beecher Adams

Beecher Adamsvor 15 Stunden

Word of the day: Proprioception is your body's unconscious ability to sense its own position, movement, and force in space without relying on your vision.

Profilbild von Eden Bitton

Eden Bittonvor 15 Stunden

Dropping the pinky is the smartest call on this list. Most teams would have kept it just because humans have five fingers.

Profilbild von Gracee_lyn

Gracee_lynvor 15 Stunden

Dropping the pinky to gain simplicity, strength, and reliability is such an interesting tradeoff. Been following you and @mikekennedy39 for a while—you both keep the coolest AI and robotics stuff on my radar.

Profilbild von Bryce Kim (브라이스킴)

Bryce Kim (브라이스킴)vor 15 Stunden

Trash

Profilbild von David

Davidvor 15 Stunden

RIP 💀

Profilbild von Principal⭐️

Principal⭐️vor 15 Stunden

This is a major leap for humanoid robotics. More degrees of freedom, tactile sensing, and human-like manipulation could make Atlas dramatically more capable in real-world tasks.

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Hands full of dexterity! 🪬 It is well known that agile, versatile hands for robots are one of the Holy Grails in robotics today. Grippers and robot hands are often underestimated, and they are the actuators behind correct and accurate picking, or placing. This robotic hand was created at the Korea University of Technology and Education. 🇰🇷 The 5-finger, 12-DoF (degrees of freedom) robotic hand features 3-DoF each for the thumb, index, and middle fingers, while the ring and little fingers share a combined 3 DoF. It uses BLDC motors with ball-screw actuators and includes a clutch mechanism to absorb impacts and prevent overload. Now, a challenge for you - guess the year! Kudos to all gripper/hand-developing companies! WE CAN'T PICK WITHOUT YOU! 🏋🏼 ~~~ ♻️ RT to help 1 robot find a new workplace.

Hands full of dexterity! 🪬 It is well known that agile, versatile hands for robots are one of the Holy Grails in robotics today. Grippers and robot hands are often underestimated, and they are the actuators behind correct and accurate picking, or placing. This robotic hand was created at the Korea University of Technology and Education. 🇰🇷 The 5-finger, 12-DoF (degrees of freedom) robotic hand features 3-DoF each for the thumb, index, and middle fingers, while the ring and little fingers share a combined 3 DoF. It uses BLDC motors with ball-screw actuators and includes a clutch mechanism to absorb impacts and prevent overload. Now, a challenge for you - guess the year! Kudos to all gripper/hand-developing companies! WE CAN'T PICK WITHOUT YOU! 🏋🏼 ~~~ ♻️ RT to help 1 robot find a new workplace.

Lukas Ziegler

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Sharpa Robotics just dropped a new hand video and the level keeps going up. This is the Sharpa Wave running WM Craftnet on a human scale fivefinger hand with 22 active DoF. The policy combines wrist depth, tactile sensing, proprioception and previous actions. The hand can rotate different objects in-hand, recover after external pushes and continue manipulating objects it was never trained on. The numbers are strong. 175/200 successful real-world rotation trials across 20 objects. A world-model prior trained on 9 objects was transferred to 49 new objects. Fall rate went from 6% to 0.3%. The Wave hardware itself has 22 actuators, up to 20 N fingertip force, 240×240 tactile sensing at up to 180 fps and 0.02 N pressure sensitivity. What caught my attention is the recovery behavior. The fingers keep changing contact points after the object slips or gets pushed instead of replaying the same finger motion. That is the kind of dexterity I want to see more of in robotic hands. According to Sharpa’s current specifications: • DTA tactile sensors on the fingers with a resolution of up to 240 × 240 • Pressure detection • Slip detection • Force change detection • Contact point localization • 6-axis force and torque measurement: Fx, Fy, Fz, Mx, My, Mz • Tactile sensing at up to 180 fps • 20 ms reported latency • Force detection range from 0 to 30 N • Maximum sensor load of 50 N • Sharpa also describes a miniature camera integrated into each fingertip for visuo-tactile sensing.

Sharpa Robotics just dropped a new hand video and the level keeps going up. This is the Sharpa Wave running WM Craftnet on a human scale fivefinger hand with 22 active DoF. The policy combines wrist depth, tactile sensing, proprioception and previous actions. The hand can rotate different objects in-hand, recover after external pushes and continue manipulating objects it was never trained on. The numbers are strong. 175/200 successful real-world rotation trials across 20 objects. A world-model prior trained on 9 objects was transferred to 49 new objects. Fall rate went from 6% to 0.3%. The Wave hardware itself has 22 actuators, up to 20 N fingertip force, 240×240 tactile sensing at up to 180 fps and 0.02 N pressure sensitivity. What caught my attention is the recovery behavior. The fingers keep changing contact points after the object slips or gets pushed instead of replaying the same finger motion. That is the kind of dexterity I want to see more of in robotic hands. According to Sharpa’s current specifications: • DTA tactile sensors on the fingers with a resolution of up to 240 × 240 • Pressure detection • Slip detection • Force change detection • Contact point localization • 6-axis force and torque measurement: Fx, Fy, Fz, Mx, My, Mz • Tactile sensing at up to 180 fps • 20 ms reported latency • Force detection range from 0 to 30 N • Maximum sensor load of 50 N • Sharpa also describes a miniature camera integrated into each fingertip for visuo-tactile sensing.

Techniahqrobot | humanoid robots

13,500 Aufrufe • vor 12 Tagen

A stunning piece of engineering!! 1X unveils the new humanoid hand for NEO - 25 degrees of freedom: 22 fully actuated in the fingers and palm, plus 3 at the wrist. - The DoF are distributed anatomically rather than evenly, deliberately biased toward a thumb that genuinely opposes the fingers. - In-house tendon-driven, quasi-direct-drive running low gear ratios of ~5:1 to 15:1 vs the typical 100:1–200:1. - Motors live in the forearm and pull tendons through the wrist. This keeps the hand light and its inertia low while producing high forces. Sensing - All 25 DoF are natively force-controlled and fully backdrivable. Every joint doubles as a force sensor. - Very important, closed-loop proprioception: it always knows its own pose and effort without looking. - Tactile skin across the fingertips and surfaces measuring contact and shear. This helps with adaptive gripping in real time. Safety and durability - IP68 waterproof and food-safe, so it can wash its own hands. - Compliant by construction: the low gear ratios, tendon drive, and low distal inertia let external impacts safely backdrive the fingers. It yields when hit by a hammer or caught in a drawer. - Full finger assemblies validated to millions of cycles. Manufacturing - Deep vertical integration: in-house motors, custom electronics, and tendon systems. - Hundreds built already, with capacity to produce 10,000 hands this year. "An API to the Physical World"

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The Humanoid Hub

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Hands are as important as the brain. From Shenzhen, Stella Robot has unveiled the PANTHEON HAND 22:a new generation of bionic dexterous hand that combines 22 degrees of freedom with remarkable strength and finesse. It’s a hand that truly understands precision. It can lift 30 kilograms, yet is delicate enough to thread a needle.Each finger can bear 1.5 kilograms, and the entire hand can gently hold a piece of tofu or sense the subtle expansion of a balloon. Powered by a tendon-driven mechanism with integrated actuators inside the forearm, it achieves compact design and natural, human-like movement. From precision assembly and component handling to material transport and human-robot collaboration,the PANTHEON HAND 22 shows what it means for humanoid robots to truly work with their hands.

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CyberRobo

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RoboHub🤖

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NEWS: Figure has unveiling its 3rd generation humanoid robot. • Features a completely redesigned sensory suite and hand system. Wireless charging in feet. • Next-generation vision system engineered for high-frequency visuomotor control. Its new camera architecture delivers twice the frame rate, one-quarter the latency, and a 60% wider field of view per camera within a more compact form factor • Soft goods, wireless charging, improved audio system for voice reasoning, and battery safety advancements • "Engineered from the ground-up for high-volume manufacturing. In order to scale, we established a new supply chain and entirely new process for manufacturing humanoid robots at BotQ." • Lower manufacturing cost • Softer, more adaptive fingertips increase surface contact area, enabling more stable grasps across objects of varied shapes and sizes. Each fingertip sensor can detect forces as small as three grams of pressure - sensitive enough to register the weight of a paperclip resting on your finger. • Multi-density foam to protect against pinch points, and is covered in soft textiles rather than hard machined parts. 9% less mass and less volume than Figure 02 • 10 Gbps mmWave data offload capability, allowing the entire fleet to upload terabytes of data • Upgraded audio hardware system for better real time speech-to-speech. Its speaker is twice the size and nearly four times more powerful, while the microphone has been repositioned for improved performance and clarity. • Charging coils in the robot’s feet allow it to simply step onto a wireless stand and charge at 2 kW Figure: "BotQ is Figure’s dedicated manufacturing facility designed to scale robot production. BotQ’s first-generation manufacturing line will initially be capable of producing up to 12,000 humanoid robots per year, with the goal of producing a total of 100,000 robots over the next four years. Instead of relying on contract manufacturers, Figure brought production of its most critical systems in-house to maintain tight control over quality, iteration, and speed."

NEWS: Figure has unveiling its 3rd generation humanoid robot. • Features a completely redesigned sensory suite and hand system. Wireless charging in feet. • Next-generation vision system engineered for high-frequency visuomotor control. Its new camera architecture delivers twice the frame rate, one-quarter the latency, and a 60% wider field of view per camera within a more compact form factor • Soft goods, wireless charging, improved audio system for voice reasoning, and battery safety advancements • "Engineered from the ground-up for high-volume manufacturing. In order to scale, we established a new supply chain and entirely new process for manufacturing humanoid robots at BotQ." • Lower manufacturing cost • Softer, more adaptive fingertips increase surface contact area, enabling more stable grasps across objects of varied shapes and sizes. Each fingertip sensor can detect forces as small as three grams of pressure - sensitive enough to register the weight of a paperclip resting on your finger. • Multi-density foam to protect against pinch points, and is covered in soft textiles rather than hard machined parts. 9% less mass and less volume than Figure 02 • 10 Gbps mmWave data offload capability, allowing the entire fleet to upload terabytes of data • Upgraded audio hardware system for better real time speech-to-speech. Its speaker is twice the size and nearly four times more powerful, while the microphone has been repositioned for improved performance and clarity. • Charging coils in the robot’s feet allow it to simply step onto a wireless stand and charge at 2 kW Figure: "BotQ is Figure’s dedicated manufacturing facility designed to scale robot production. BotQ’s first-generation manufacturing line will initially be capable of producing up to 12,000 humanoid robots per year, with the goal of producing a total of 100,000 robots over the next four years. Instead of relying on contract manufacturers, Figure brought production of its most critical systems in-house to maintain tight control over quality, iteration, and speed."

Sawyer Merritt

140,241 Aufrufe • vor 11 Monaten

NEO robot achieves “almost human-like” hand dexterity The Norwegian-American startup 1X has demonstrated new capabilities of its humanoid robot NEO — it has learned to perform fine motor tasks at a level close to humans. The robot can assemble Lego, eat chips, play video games, screw in a light bulb, pick a grape, and carefully hold a wine glass. Previously, one of the biggest challenges for robots was handling small objects — they struggled to understand how much force was needed to grip them. NEO solves this problem with cable-driven actuators and a force-control system: each joint moves the finger while simultaneously measuring pressure. The developers believe these technologies could become an important step toward the creation of universal home robots.

NEO robot achieves “almost human-like” hand dexterity The Norwegian-American startup 1X has demonstrated new capabilities of its humanoid robot NEO — it has learned to perform fine motor tasks at a level close to humans. The robot can assemble Lego, eat chips, play video games, screw in a light bulb, pick a grape, and carefully hold a wine glass. Previously, one of the biggest challenges for robots was handling small objects — they struggled to understand how much force was needed to grip them. NEO solves this problem with cable-driven actuators and a force-control system: each joint moves the finger while simultaneously measuring pressure. The developers believe these technologies could become an important step toward the creation of universal home robots.

NEXTA

47,071 Aufrufe • vor 2 Monaten

HOT TAKE: DID 1X JUST UNVEIL THE ‘BEST HAND IN HISTORY’?! Bernt Bornich, dar and the entire 1X team may have set some key industry benchmarks. Humanoid Scott, Gustav Andersson, Mehrdad Farimani and The Humanoid Hub join me for a rapid technical teardown of what’s visible, what’s inferred and what’s still unproven. The big technical takeaways: > An unusual return to Bowden-tube tendon routing. Potentially a clever solution to wrist motion and finger decoupling, but one that raises difficult questions around friction, creep, energy loss and control. > The panel sees signs of paired tendon actuation and active antagonistic extension, potentially giving the fingers better stiffness, speed and control than spring-return architectures. > The biomechanics stand out: strong thumb opposition, palm movement, human-like proportions and impressive control of the fingers while the wrist moves. > The integrated skin is a major engineering achievement, but the panel questions tactile-sensor noise through the covering and spots what appears to be a tear around a possible pinch point. > The tool-use demos matter. A human-proportioned hand capable of manipulating tools could become crucial not just for deployment, but for training humanoids from human data. Big step forward? Absolutely. New benchmark? Possibly. Best hand in history? You tell me! 🚨FULL VIDEO IN POST BELOW 👇🏽

HOT TAKE: DID 1X JUST UNVEIL THE ‘BEST HAND IN HISTORY’?! Bernt Bornich, dar and the entire 1X team may have set some key industry benchmarks. Humanoid Scott, Gustav Andersson, Mehrdad Farimani and The Humanoid Hub join me for a rapid technical teardown of what’s visible, what’s inferred and what’s still unproven. The big technical takeaways: > An unusual return to Bowden-tube tendon routing. Potentially a clever solution to wrist motion and finger decoupling, but one that raises difficult questions around friction, creep, energy loss and control. > The panel sees signs of paired tendon actuation and active antagonistic extension, potentially giving the fingers better stiffness, speed and control than spring-return architectures. > The biomechanics stand out: strong thumb opposition, palm movement, human-like proportions and impressive control of the fingers while the wrist moves. > The integrated skin is a major engineering achievement, but the panel questions tactile-sensor noise through the covering and spots what appears to be a tear around a possible pinch point. > The tool-use demos matter. A human-proportioned hand capable of manipulating tools could become crucial not just for deployment, but for training humanoids from human data. Big step forward? Absolutely. New benchmark? Possibly. Best hand in history? You tell me! 🚨FULL VIDEO IN POST BELOW 👇🏽

Royden D'Souza

13,929 Aufrufe • vor 2 Monaten

Boston Dynamics just dropped the production-ready Atlas at CES 2026, and the specs are next-level. This isn't just a prototype; it's a rugged, enterprise-grade worker built for the grind of real-world factories.🤖🦾 With 56 degrees of freedom and fully rotational joints, Atlas moves with "superhuman" flexibility. It features human-scale hands with tactile sensing in every finger and palm, allowing for high-precision manipulation. Plus, its 360-degree vision system ensures it always knows who's approaching, keeping human-robot collaboration safe. ➤ Rugged Performance: Lifts up to 110 lbs (approx. 50kg) and operates in extreme temps from -4°F to 104°F (-20°C to 40°C). It’s even water-resistant for industrial wash-downs. ➤ Smart Endurance: Runs for 4 hours on dual swappable batteries. When power gets low, it autonomously heads back to the station to swap its own batteries and get right back to work. ➤ Cloud Intelligence: New tasks can be trained in less than a day. Thanks to the Orbit platform, once one Atlas learns a skill, it’s instantly shared across the entire fleet. The scale is massive: the entire 2026 supply is already spoken for by Hyundai and a new AI partner. Hyundai is also building a specialized "Robotics Metal Plant" and a new factory capable of churning out 30,000 Atlas units annually. We’re officially watching the birth of a humanoid workforce at scale. Source: Boston Dynamics & Hyundai Group

Boston Dynamics just dropped the production-ready Atlas at CES 2026, and the specs are next-level. This isn't just a prototype; it's a rugged, enterprise-grade worker built for the grind of real-world factories.🤖🦾 With 56 degrees of freedom and fully rotational joints, Atlas moves with "superhuman" flexibility. It features human-scale hands with tactile sensing in every finger and palm, allowing for high-precision manipulation. Plus, its 360-degree vision system ensures it always knows who's approaching, keeping human-robot collaboration safe. ➤ Rugged Performance: Lifts up to 110 lbs (approx. 50kg) and operates in extreme temps from -4°F to 104°F (-20°C to 40°C). It’s even water-resistant for industrial wash-downs. ➤ Smart Endurance: Runs for 4 hours on dual swappable batteries. When power gets low, it autonomously heads back to the station to swap its own batteries and get right back to work. ➤ Cloud Intelligence: New tasks can be trained in less than a day. Thanks to the Orbit platform, once one Atlas learns a skill, it’s instantly shared across the entire fleet. The scale is massive: the entire 2026 supply is already spoken for by Hyundai and a new AI partner. Hyundai is also building a specialized "Robotics Metal Plant" and a new factory capable of churning out 30,000 Atlas units annually. We’re officially watching the birth of a humanoid workforce at scale. Source: Boston Dynamics & Hyundai Group

RoboHub🤖

28,554 Aufrufe • vor 8 Monaten

U.S. based humanoid robotics company 1X has just unveiled their new tendon-driven robot hands with 25 degrees of freedom (DOF). • Made in USA • Tendon Drive Ratio: 5:1–15:1 • Wrist Dexterity: 3 DOF • Backdrivability: Fully backdrivable • Tactile Sensing: Pressure + location + slip • Finger Force: Up to 45 N • Wrist Torque: 17.75 Nm • Position Accuracy: ±0.2 mm • Waterproof Rating: IP68 • Reliability: >2 million cycles "These hands are designed to do something fundamental: remove the hardware ceiling on what humanoid robots can actually do, and make data the only barrier to capabilities. By matching or surpassing human hands across the dimensions that matter, they ensure our AI models are no longer limited by dexterity. NEO can now perform virtually any task a human can do with their hands– with the precision, adaptability, and gentleness required for real-world environments."

U.S. based humanoid robotics company 1X has just unveiled their new tendon-driven robot hands with 25 degrees of freedom (DOF). • Made in USA • Tendon Drive Ratio: 5:1–15:1 • Wrist Dexterity: 3 DOF • Backdrivability: Fully backdrivable • Tactile Sensing: Pressure + location + slip • Finger Force: Up to 45 N • Wrist Torque: 17.75 Nm • Position Accuracy: ±0.2 mm • Waterproof Rating: IP68 • Reliability: >2 million cycles "These hands are designed to do something fundamental: remove the hardware ceiling on what humanoid robots can actually do, and make data the only barrier to capabilities. By matching or surpassing human hands across the dimensions that matter, they ensure our AI models are no longer limited by dexterity. NEO can now perform virtually any task a human can do with their hands– with the precision, adaptability, and gentleness required for real-world environments."

Sawyer Merritt

744,908 Aufrufe • vor 2 Monaten

NEWS: Humanoid robotics company Figure has released Helix 02, what they claim in their most capable humanoid model yet. "A single neural system that controls the full body directly from pixels, enabling dexterous, long horizon autonomy across an entire room: • Autonomous, long‑horizon loco-manipulation: Helix 02 unloads and reloads a dishwasher across a full-sized kitchen - a four-minute, end-to-end autonomous task that integrates walking, manipulation, and balance with no resets and no human intervention. We believe this is the longest horizon, most complex task completed autonomously by a humanoid robot to date. • All sensors in. All actuators out: Helix 02 connects every onboard sensor - vision, touch, and proprioception - directly to every actuator through a single unified visuomotor neural network. • Human-like whole body control from human data: All results are enabled by System 0, a learned whole‑body controller trained on over 1,000 hours of human motion data and sim‑to‑real reinforcement learning. System 0 replaces 109,504 lines of hand‑engineered C++ with a single neural prior for stable, natural motion. • New classes of dexterity: With Figure 03’s embedded tactile sensing and palm cameras, Helix 02 performs manipulation that was previously out of reach: extracting individual pills, dispensing precise syringe volumes, and singulating small, irregular objects from clutter despite self‑occlusion. Helix 02 is trained on over 1,000 hours of human motion data and integrates vision, touch, and proprioception."

NEWS: Humanoid robotics company Figure has released Helix 02, what they claim in their most capable humanoid model yet. "A single neural system that controls the full body directly from pixels, enabling dexterous, long horizon autonomy across an entire room: • Autonomous, long‑horizon loco-manipulation: Helix 02 unloads and reloads a dishwasher across a full-sized kitchen - a four-minute, end-to-end autonomous task that integrates walking, manipulation, and balance with no resets and no human intervention. We believe this is the longest horizon, most complex task completed autonomously by a humanoid robot to date. • All sensors in. All actuators out: Helix 02 connects every onboard sensor - vision, touch, and proprioception - directly to every actuator through a single unified visuomotor neural network. • Human-like whole body control from human data: All results are enabled by System 0, a learned whole‑body controller trained on over 1,000 hours of human motion data and sim‑to‑real reinforcement learning. System 0 replaces 109,504 lines of hand‑engineered C++ with a single neural prior for stable, natural motion. • New classes of dexterity: With Figure 03’s embedded tactile sensing and palm cameras, Helix 02 performs manipulation that was previously out of reach: extracting individual pills, dispensing precise syringe volumes, and singulating small, irregular objects from clutter despite self‑occlusion. Helix 02 is trained on over 1,000 hours of human motion data and integrates vision, touch, and proprioception."

Sawyer Merritt

624,910 Aufrufe • vor 8 Monaten

New "superman" Four months later, Shanghai-based Matrix Robotics unveiled the Matrix-3--yet another anthropomorphic humanoid robot situated on the left side of the "Uncanny Valley." Unlike Boston Dynamics' Atlas, which is designed for industrial settings, the Matrix-3 is a general-purpose humanoid robot intended initially for service-oriented environments such as supermarkets, hotels, and office buildings. Standing 1.7 meters tall and weighing 65 kilograms, the adult-sized robot features a full-body covering of biomimetic fabric integrated with tactile sensors, as well as humanoid biomimetic muscles. It employs linear joints rather than the mainstream rotary joints. Matrix claims it is capable of pulling or pushing a load of 200 kg. Optimus makes extensive use of linear joints (linear actuators). It is equipped with dexterous hands offering 27 DOF and boasts a battery life of 4 hours. The robot is powered by a model named WAVE(like an E2E World Action Model) Matrix states that it has already established a manufacturing facility in Shanghai's Zhangjiang with an annual production capacity of 10,000 units. The company plans to deliver 1,000 units this year, with the first batch scheduled for delivery by the end of June. Pricing starts at $99,000. Notably, Matrix founder Zhang Haixing previously served as a leader at Tesla China's Design and Research Center, where he was deeply involved in the early-stage R&D and design of the Optimus robot. This company seems to be delivering on the future envisioned for Optimus.

New "superman" Four months later, Shanghai-based Matrix Robotics unveiled the Matrix-3--yet another anthropomorphic humanoid robot situated on the left side of the "Uncanny Valley." Unlike Boston Dynamics' Atlas, which is designed for industrial settings, the Matrix-3 is a general-purpose humanoid robot intended initially for service-oriented environments such as supermarkets, hotels, and office buildings. Standing 1.7 meters tall and weighing 65 kilograms, the adult-sized robot features a full-body covering of biomimetic fabric integrated with tactile sensors, as well as humanoid biomimetic muscles. It employs linear joints rather than the mainstream rotary joints. Matrix claims it is capable of pulling or pushing a load of 200 kg. Optimus makes extensive use of linear joints (linear actuators). It is equipped with dexterous hands offering 27 DOF and boasts a battery life of 4 hours. The robot is powered by a model named WAVE(like an E2E World Action Model) Matrix states that it has already established a manufacturing facility in Shanghai's Zhangjiang with an annual production capacity of 10,000 units. The company plans to deliver 1,000 units this year, with the first batch scheduled for delivery by the end of June. Pricing starts at $99,000. Notably, Matrix founder Zhang Haixing previously served as a leader at Tesla China's Design and Research Center, where he was deeply involved in the early-stage R&D and design of the Optimus robot. This company seems to be delivering on the future envisioned for Optimus.

CyberRobo

40,727 Aufrufe • vor 4 Monaten

Reward AI just came out of stealth and unveiled OM-1, a robot policy learned entirely from humans. No teleoperation, no on-robot data. One Model, Any Body. 1. Capture. A wearable 7-DoF hand (Omnibody Hand) lets people demonstrate manipulation naturally while working, cooking, or sorting. Sensors record tactile, proximity, force and hand pose at full human speed. 2. Learn. OM-1 trains on this human data alone. No teleop, no on-robot experience. Then it runs across bodies from industrial arms to humanoids, and scaling is just adding more human data. 3. Control. A high-frequency control layer, trained with RL in sim, executes those actions on any robot, holding steady through unknown loads like a stuck fridge door. The result: OM-1 picks up a brand-new task from under 30 minutes of data.

The Humanoid Hub

35,477 Aufrufe • vor 17 Tagen

A robotic hand that walks away on its own fingers! 🪬 We finally have the Thing from Addams family in robotics, and it was developed at ETH Zürich. No wheels, no legs bolted underneath, no separate drive mechanism. The same fingers that grasp things also carry the hand across a surface and hold up its weight. A quadruped has four identical legs spaced evenly around its body, and most legged-locomotion reward functions quietly assume exactly that. A hand has fingers of different lengths, arranged unevenly around a palm, with a thumb that matches none of them. The team wrote a reward formulation for that unequal geometry, and in simulation it moves faster than tuned rewards borrowed from quadruped work. They kept the hand's existing finger design and its position controller, so this isn't a bespoke machine built for the demo. And power and computation sit onboard, so it runs untethered. → Crawling, steering, and recovery after being knocked over → While holding itself up, it executes a sequence of keyboard commands with no vision at all → It pushes an object to target positions using overhead visual feedback → The simulator was calibrated against measurements taken from the physical hardware A hand that walks to a task and then performs the task is a mobile manipulator with no locomotion hardware in it. Big shoutout to authors Amir Kzp! 😮‍💨 🔗 Here's the paper: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

A robotic hand that walks away on its own fingers! 🪬 We finally have the Thing from Addams family in robotics, and it was developed at ETH Zürich. No wheels, no legs bolted underneath, no separate drive mechanism. The same fingers that grasp things also carry the hand across a surface and hold up its weight. A quadruped has four identical legs spaced evenly around its body, and most legged-locomotion reward functions quietly assume exactly that. A hand has fingers of different lengths, arranged unevenly around a palm, with a thumb that matches none of them. The team wrote a reward formulation for that unequal geometry, and in simulation it moves faster than tuned rewards borrowed from quadruped work. They kept the hand's existing finger design and its position controller, so this isn't a bespoke machine built for the demo. And power and computation sit onboard, so it runs untethered. → Crawling, steering, and recovery after being knocked over → While holding itself up, it executes a sequence of keyboard commands with no vision at all → It pushes an object to target positions using overhead visual feedback → The simulator was calibrated against measurements taken from the physical hardware A hand that walks to a task and then performs the task is a mobile manipulator with no locomotion hardware in it. Big shoutout to authors Amir Kzp! 😮‍💨 🔗 Here's the paper: ~~ ♻️ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

62,387 Aufrufe • vor 15 Tagen

XPENG unveils the next-gen IRON humanoid. - The robot can be customized to be male or female. - Soft 3D lattice structures and soft skin are used for human-like body curves. - The 5' 7" robot has human-like spine movement. - Next-gen hands use tiny harmonic joints to achieve 22 Degrees of Freedom. - IRON uses a solid-state battery that is 30% lighter with 30% more capacity. - He Xiaopeng says they're holding off on household deployment for longer term because the AI needed for it "is very difficult based on the current technology." - They'll start with commercial use, like robots introducing cars to customers at XPENG stores. - It is in the R&D stage but will go into mass production in April 2026.

XPENG unveils the next-gen IRON humanoid. - The robot can be customized to be male or female. - Soft 3D lattice structures and soft skin are used for human-like body curves. - The 5' 7" robot has human-like spine movement. - Next-gen hands use tiny harmonic joints to achieve 22 Degrees of Freedom. - IRON uses a solid-state battery that is 30% lighter with 30% more capacity. - He Xiaopeng says they're holding off on household deployment for longer term because the AI needed for it "is very difficult based on the current technology." - They'll start with commercial use, like robots introducing cars to customers at XPENG stores. - It is in the R&D stage but will go into mass production in April 2026.

The Humanoid Hub

73,719 Aufrufe • vor 11 Monaten

Feeling what a robot feels is becoming real! 🫰 Fluid Reality just ran its first full end-to-end touch teleoperation system, and the demo shows why high-resolution haptics might be the missing piece in robot control. A 22 mm fingertip display with 32 independently actuated “bubbles” was mapped directly to tactile sensors on a robot hand. 🫧 Three fingers streamed real-time touch data robot → human, giving the operator actual contact feedback instead of waving their hands blind, like most teleop systems today. It’s still early, but this is a real step toward dexterous ops and high-quality data for training Physical AI systems. Companies involved: Samsung Electronics, Alt-Bionics, Inc. (the robot hand), MANUS™ (hand tracking), and Sensible Robotics (fingertip sensors) Touch isn’t a nice-to-have in robotics. It’s the difference between manipulation that works in the real world P.S. Guess how many touch receptors we humans, have in our hand! :) ~~ ♻ Join the weekly robotics newsletter, and never miss any news →

Feeling what a robot feels is becoming real! 🫰 Fluid Reality just ran its first full end-to-end touch teleoperation system, and the demo shows why high-resolution haptics might be the missing piece in robot control. A 22 mm fingertip display with 32 independently actuated “bubbles” was mapped directly to tactile sensors on a robot hand. 🫧 Three fingers streamed real-time touch data robot → human, giving the operator actual contact feedback instead of waving their hands blind, like most teleop systems today. It’s still early, but this is a real step toward dexterous ops and high-quality data for training Physical AI systems. Companies involved: Samsung Electronics, Alt-Bionics, Inc. (the robot hand), MANUS™ (hand tracking), and Sensible Robotics (fingertip sensors) Touch isn’t a nice-to-have in robotics. It’s the difference between manipulation that works in the real world P.S. Guess how many touch receptors we humans, have in our hand! :) ~~ ♻ Join the weekly robotics newsletter, and never miss any news →

Lukas Ziegler

46,927 Aufrufe • vor 10 Monaten