Open-source simulator for autonomous driving research.
A fully open-source humanoid arm for physical AI research and deployment in contact-rich environments.
Benchmarking Knowledge Transfer in Lifelong Robot Learning
RoboVerse: Towards a Unified Platform, Dataset and Benchmark for Scalable and Generalizable Robot Learning
[PAMI'23] TransFuser: Imitation with Transformer-Based Sensor Fusion for Autonomous Driving; [CVPR'21] Multi-Modal Fusion Transformer for End-to-End Autonomous Driving
Summary of key papers and blogs about diffusion models to learn about the topic. Detailed list of all published diffusion robotics papers.
👉 CARLA resources such as tutorial, blog, code and etc https://github.com/carla-simulator/carla
A unified framework for robot learning
Imitation learning algorithms
[ICCV'23] Hidden Biases of End-to-End Driving Models & A starter kit for the CARLA leaderboard 2.0.
Browser teleoperation data for embodied AI — 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.
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.
Offline Clash Royale AI agent research: native simulation, imitation learning, PPO, and interactive evaluation. 离线对局模拟、模仿学习、强化学习与交互评测。
Camera-only closed-loop driving agent for Forza Horizon 6, with geometry as the control interface.
Turn world-model imagination into corrective training data for robot policies — a single-GPU, falsifiable pipeline (SmolVLA · LIBERO · CEM · paired simulator replays).
Companion repository for “In-Context Learning for Robots: Methods and Applications” — methods, datasets, and benchmarks organized by taxonomy and release date.
2,000 curated embodied AI and robotics resources with bilingual metadata and transparent ranking
具身智能学习手册 - 覆盖VLA模型、遥操作、Sim2Real、强化学习等完整知识体系的系统性学习指南
🚀🚀 A 0.8B JEV-like multimodal model playing GUI games directly from raw pixels.
[CoRL 2026] EgoWAM: World Action Models Beyond Pixels with In-the-Wild Egocentric Human Data
ROS 2 and Isaac Sim reference stack for a mobile base with dual SO-101 arms, multimodal sensing, data QC, and imitation learning.
A fruit fly connectome (165k neurons, 25.6M synapses) trained to drive a simulated street from pixels. Code, patches, renderer, results.