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ReSim: Reliable World Simulation for Autonomous Driving
ReSim is a driving world model that enables Reliable Simulation of diverse open-world driving scenarios under various actions, including hazardous non-expert ones. A Video2Reward model estimates the reward from ReSim's simulated future.
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FreeTacMan: Robot-free Visuo-Tactile Data Collection System for Contact-rich Manipulation
A human-centric and robot-free visuo-tactile data collection system for high-quality and efficient robot manipulation.
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ECCV 2024 Oral
DriveLM: Driving with Graph Visual Question Answering
Unlocking the future where autonomous driving meets the unlimited potential of language.
- 2025.07.01DetAny3D is now open source. Check it out on:github.com/OpenDriveLab/DetAny3D.
- 2025.07.01[AGC 2025]The ICCV phase is ON! Explore theNAVSIM v2 End-to-End Driving Challengeand theWorld Model Challenge by 1X.
- 2025.07.01[AGC 2025]The IROS phase is ON! Explore theAgiBot World Challenge
We are searching for talents from all over the world. Are you looking for opportunities? Don't hesitate to contact us via [email protected] or Dr. Hongyang Li.
- 具身智能研究員 / 自動駕駛研究員 / 機器人硬件工程師 / 科研助理 / 生態合作助理 【更多詳情】
- Ph.D. student / Research Assistant / Postdoc / etc. in Hong Kong and Shanghai
- Full-time employee and Intern (international are welcome)
Embodied AI
End-to-End
Autonomous Driving
AgiBot World
Manipulation
Manipulation- Cutting-edge Sensor and Hardware Design.
- Wide-spectrum of Scenario Coverage.
- Quality Assurance with Human-in-the-loop.
OpenDV
GenerationWorld Model
GenerationWorld Model- The largest driving video dataset to date, containing more than 1700 hours of real-world driving videos.
Representative work published at top-tiered venues.
A unified vision-language-action framework that enables policy learning across different environments.
RSS 2025
UniAD: The first comprehensive framework that incorporates full-stack driving tasks.
A novel generalist policy that leverages latent action representations to maximize data utilization, demonstrating predictable performance scaling with increased data volume.
IROS 2025
In this survey, we provide a comprehensive analysis of more than 270 papers on the motivation, roadmap, methodology, challenges, and future trends in end-to-end autonomous driving.
IEEE-TPAMI 2024Survey
Unlocking the future where autonomous driving meets the unlimited potential of language.
ECCV 2024 Oral
Challenge 2025
Autonomous Grand Challenge
