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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...

104,483 görüntüleme • 13 saat önce •via X (Twitter)

15 Yorum

SmokehDaBear profil fotoğrafı
SmokehDaBear13 saat önce

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

Sawyer Merritt profil fotoğrafı
Sawyer Merritt12 saat önce

I think so too

Norwegian Nerd profil fotoğrafı
Norwegian Nerd12 saat önce

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

- julie crowder - profil fotoğrafı
- julie crowder -12 saat önce

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.

Raven profil fotoğrafı
Raven12 saat önce

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

🐋AURABOY🙏🏼IMMACULATE◻️🐋👑 profil fotoğrafı
🐋AURABOY🙏🏼IMMACULATE◻️🐋👑12 saat önce

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

Selling Options for Profit profil fotoğrafı
Selling Options for Profit12 saat önce

Ya but can it had out popcorn?

Overly Trev’s Future profil fotoğrafı
Overly Trev’s Future12 saat önce

Solid progress, I want to see Optimus V3!

Eden Bitton profil fotoğrafı
Eden Bitton13 saat önce

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

Beecher Adams profil fotoğrafı
Beecher Adams12 saat önce

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.

Eden Bitton profil fotoğrafı
Eden Bitton13 saat önce

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

Gracee_lyn profil fotoğrafı
Gracee_lyn13 saat önce

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.

Bryce Kim (브라이스킴) profil fotoğrafı
Bryce Kim (브라이스킴)12 saat önce

Trash

David profil fotoğrafı
David12 saat önce

RIP 💀

Principal⭐️ profil fotoğrafı
Principal⭐️12 saat önce

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.

Benzer Videolar

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 görüntüleme • 12 gün önce

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 görüntüleme • 11 ay önce

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 görüntüleme • 8 ay önce

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 görüntüleme • 4 ay önce

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 görüntüleme • 15 gün önce