Unified framework for robot learning with multi-physics/renderer support
A Paper List for Humanoid Robot Learning.
RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
A unified framework for robot learning
SDK for robotics teams to verify the quality of their data used for AI model training.
Browser teleoperation data for embodied AI β elizaOS-ready episodes, trajectory_db converter, onchain provenance. The fuel station for agent robot stacks.
INTACT: Isomorphic Intent-to-Action Learning for Search-Free World Models.
Official codebase for Spotter: Let the Embodied Model Lead, and the VLM Reflect for It
FLUX 3 Action: open weights 7B world action model from Black Forest Labs. Train, fine-tune and run action prediction for robots (DROID, SO-101), simulators and games.
Benchmarking Coding Agents for Interactive World Modeling from Embodied Videos - Rethinking Embodied Real2Sim from a Software Engineering Perspective
Robot-agent harness with a CLI and local Web console for LIBERO short evaluation
Agent + reusable skill library for LIBERO manipulation tasks (no RL / VLA / world model; no LLM calls at runtime)
A 4B grounding foundation model for physical intelligence. Unifies detection, referring, pointing, OCR, GUI, and layout grounding, achieving SOTA overall across 34 benchmarks and improving robot generalization and data efficiency in controlled evaluations.
Companion repository for βIn-Context Learning for Robots: Methods and Applicationsβ β methods, datasets, and benchmarks organized by taxonomy and release date.
The first exam for code agents in the physical world: frozen robot tasks from many benchmark suites, each answered with a program and verified in a separate sandbox. Runs on Harbor.
Native-video memory for vision-language-action models, using timestamped visual history and exact streaming inference for long-horizon robot manipulation.
Official codebase for Unitas: A 3D-Native World Action Model for Embodied Manipulation
2,000 curated embodied AI and robotics resources with bilingual metadata and transparent ranking
Reproducible Microduck RL experiments, policies, simulation assets, and hardware add-ons
Post-training humanoid whole-body trackers for perceptive control tasks
HuRo: Robotizing Human Videos for Scalable VLA Pretraining (CoRL 2026)
Grounded Action Model: 3D Grounding as a Foundation for Robotics
Reflex: Visually Grounded Reactive Humanoid Control (code coming soon)
A curated list and taxonomy of test-time robot learning: RL post-training, policy steering, test-time adaptation and training, test-time scaling, in-context learning, and policy self-improvement.