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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.
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
- Cutting-edge Sensor and Hardware Design.
- Wide-spectrum of Scenario Coverage.
- Quality Assurance with Human-in-the-loop.

OpenDV
- 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.
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.
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.
Unlocking the future where autonomous driving meets the unlimited potential of language.
