The Humanoid Hub
@TheHumanoidHub • 117,618 subscribers
Humanoid Robots: Tech, Business, and Social Dynamics. Click the “𝕊𝕦𝕓𝕤𝕔𝕣𝕚𝕓𝕖” button on the profile to support. Run by @dev_and_
Shorts
Videos
Home robots are coming. The first ones in will be the small ones that are safe around kids and pets. Hugging Face's Pollen Robotics just opened pre-orders for Microduck, a $399 biped. 25cm, under 800g, 15 motors, a camera, a small LiDAR, two IMUs, and an articulated beak that picks things up. Ships with 7 pre-trained behaviors including walking, kicking, and roller skating. Open on GitHub under Apache-2.0: the SDK, the simulator, and the RL training pipeline. So you can teach it new tricks.
The Humanoid Hub779,167 görüntüleme • 1 ay önce
Look at this thing go! 100-meter obstacle course final at the 2026 World Humanoid Robot Games
The Humanoid Hub778,480 görüntüleme • 1 ay önce
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"
The Humanoid Hub1,278,442 görüntüleme • 3 ay önce
X Square Robot has introduced TwinDEX: a co-designed pair of three-finger, 9-DoF dexterous hands, one wearable for data collection, one matched robot end effector for deployment. The wearable and the robot hand share the same kinematics, geometry, materials, look, and sensors, so human demos map straight to the robot without retargeting. Human data collection improves throughput 5.3x compared to teleoperation, and a policy can be trained with a few hundred episodes without any robot data.
The Humanoid Hub277,022 görüntüleme • 1 ay önce
XPENG's next-gen IRON robot effectively crossed the uncanny valley, leading many to believe it was a human in a suit. In a follow-up event to prove it was a robot, He Xiaopeng had its leg skin cut open in front of a live audience. The robot then walked off the stage.
The Humanoid Hub2,149,507 görüntüleme • 11 ay önce
Pen spinning is a classic test of human finger dexterity. WUJI just trained a robot hand to do it. Their sim-to-real policy, trained entirely in simulation, spins a pen on a physical WUJI Hand 2. At IROS 2026 they also showed glove-based teleoperation, a human driving the hand's motions live. Two paths to dexterity: learn it in sim, or lend it from a human.
The Humanoid Hub30,699 görüntüleme • 7 gün önce
Dynamic control trained at SUSTech’s ACT Lab in Shenzhen.
The Humanoid Hub1,578,767 görüntüleme • 1 yıl önce
Never leaving this app, because I know “I’ll be back”
The Humanoid Hub213,357 görüntüleme • 1 ay önce
Ashok Elluswamy, Tesla's AI lead, during a GTC discussion, highlighting the fundamental similarity in AI approaches for self-driving cars and humanoid robots: - Hierarchical decision making is useful, but it has to be done as part of the same decision-making process as lower-level controls. - We haven't seen the long tail of humanoid robotics, but Tesla has seen the long tail of self-driving, where high and low-level decisions have to be jointly made at a pretty high framerate. - Optimus's architecture is designed in a similar way, where there's a hierarchy but it's all running as part of the same model and the latencies involved in decision making are well modeled. - This architecture will scale quite well with humanoid robots. - The distinction of the decision-making levels is only in the developer's mind. For the model, it's a continuous space of decision making, where there are dials available to make them more fine or coarse. - Humanoids have more sensor modalities and higher degrees of freedom compared to self-driving, but the fundamental constraints remain the same: you need to make real-time decisions. There's obviously a hierarchy to these control signal outputs, but the lowest frequency cannot be too low, because the safety of the robot cannot depend upon things running at very low frequencies.
The Humanoid Hub670,225 görüntüleme • 7 ay önce
Yikes! The operator picked the exact wrong moment to hand off the controller.
The Humanoid Hub1,335,241 görüntüleme • 1 yıl önce
CMU researchers, in collaboration with NVIDIA, present ASAP, a two-stage framework for humanoid robot agility. It pre-trains motion policies on human data, then refines them with real-world corrections using a delta action model, which adjusts for simulation mismatches.
The Humanoid Hub1,827,164 görüntüleme • 1 yıl önce
