This repository serves as a comprehensive, curated collection of resources focused on learning for humanoid robots. It targets researchers, engineers, and practitioners in robotics, artificial intelligence, and related fields. The primary benefit is providing a centralized, up-to-date hub for navigating the rapidly evolving landscape of humanoid robot control, locomotion, manipulation, and simulation, highlighting the convergence of robotics and physics-based animation.

How It Works

This repository functions as a curated index, aggregating links to research papers, news, robot models, and associated projects. It highlights the convergence of humanoid robotics and physics-based animation as a key research direction. The collection is organized chronologically and thematically, enabling users to track advancements in methodologies like reinforcement learning, imitation learning, and sim-to-real transfer for complex robotic behaviors.

Quick Start & Requirements

As a curated list of resources, this repository does not have a direct installation or execution process. Users are directed to external links for specific software, datasets, or research papers, each with its own requirements.

Highlighted Details

• Robot Model Diversity: Features a broad selection of humanoid and bipedal robot models (e.g., Atlas, Digit, iCub, TALOS, Unitree H1/G1) available in common formats like URDF, MJCF, and COLLADA.
• Extensive Research Catalog: Compiles a vast, chronologically organized list of research papers from 2018-2025, covering advanced topics such as whole-body control, locomotion, manipulation, sim-to-real transfer, imitation learning, and foundation models.
• Up-to-date Industry News: Includes a regularly updated news section tracking significant developments, product releases, and demonstrations from leading robotics companies and research institutions.
• Open-Source Integration: Provides direct links to numerous open-source projects, code repositories, and simulation environments, facilitating practical implementation and further research.

Maintenance & Community

Information regarding specific maintainers, community channels (like Discord or Slack), or active development beyond the curated content is not explicitly provided in the README.

Licensing & Compatibility

The repository itself does not specify a license for the curated list. However, the included robot models and associated software exhibit a range of licenses, from permissive (MIT, BSD, Apache) to copyleft (GPL, LGPL) and proprietary (NASA-1.3). Users must consult individual resource licenses for compatibility with their projects.

Limitations & Caveats

As a curated list, this repository offers no direct tools or executable code. The depth and accessibility of linked resources vary, requiring users to independently assess their quality and applicability. The rapidly evolving nature of humanoid robotics means the list's comprehensiveness depends on ongoing curation.