humanoid

A new personal robot called the T1, showcased at the AI for Good Summit in Geneva, can transform between a four-legged dog-like shape and a humanoid form, allowing it to navigate both smooth and rough terrain, climb steps, and follow users.

UMA_Robots unveils Northstar, a robot with a human-like body and hands, designed to be approachable and competent for workplaces and homes.

A tweet promotes an interactive website that breaks down humanoid robot hardware, costs, and supply chains, highlighting materials as the bottleneck.

SceneBot is a unified motion tracking framework that conditions a single humanoid policy on both reference motions and per-link contact labels, enabling free-space locomotion, terrain traversal, and whole-body manipulation in contact-rich environments.

LeRobot released the largest open-source humanoid teleoperation dataset, re-encoded into the LeRobot format for efficient streaming and reduced storage footprint.

This paper introduces DeepInsight, a unified evaluation infrastructure for Physical AI stacks that spans from foundation model decoding to whole-body control, preserving heterogeneity through three narrow abstractions to enable cross-layer diagnostics.

OASIS is a simulation-data-driven framework for humanoid loco-manipulation that uses 3D generative models and hierarchical visuomotor policies. It achieves better zero-shot performance than real-robot training by leveraging domain randomization in simulation.

This paper introduces LIMMT, a data-centric study showing that training with high-quality, minimal subsets of motion data (under 3% of AMASS) outperforms using the full dataset for physics-based humanoid motion tracking, defining motion data quality through physics feasibility, diversity, and complexity.

Humanoid-GPT is a GPT-style Transformer pre-trained on a billion-scale motion corpus, achieving zero-shot generalization for whole-body motion tracking across unseen motions and tasks.

Hugging Face has released LeRobot Humanoid, an open-source, low-cost ($2.5k) 3D-printed humanoid robot designed for robot learning, including hardware, software, simulation, and training tools.

LeRobot Humanoid is an open, low-cost bipedal robot platform for robot learning, including hardware, runtime, identification tools, and training environments, built from 3D-printed and off-the-shelf parts for about $2,500.

Boston Dynamics demonstrates Atlas humanoid robot lifting and carrying a 100+ lb mini-fridge using reinforcement learning for weight, grip, and balance adaptation.

Unitree Robotics has launched the GD01, claiming it as the world's first mass-produced manned mecha capable of carrying a human rider.

LeRobot v0.5.0 is a major release featuring support for Unitree G1 humanoid robots, new policy architectures (Pi0-FAST VLAs, Real-Time Chunking), streaming video encoding for 3x faster training, and EnvHub for loading simulation environments from Hugging Face Hub.