OpenDriveLab
ReSim: Reliable World Simulation for Autonomous Driving
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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.

FreeTacMan: Robot-free Visuo-Tactile Data Collection System for Contact-rich Manipulation
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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.

UniVLA: Learning to Act Anywhere with Task-centric Latent Actions
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RSS 2025

UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

A unified vision-language-action framework that enables policy learning across different environments.

AgiBot World Colosseo: A Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems
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AgiBot World

World's First Large-scale High-quality Robotic Manipulation Benchmark.

DriveLM: Driving with Graph Visual Question Answering
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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.

Planning-oriented Autonomous Driving
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CVPR 2023 Best Paper Award

Planning-oriented Autonomous Driving

UniAD: The first comprehensive framework that incorporates full-stack driving tasks.

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)
AgiBot World
AgiBot World
Manipulation
  • Cutting-edge Sensor and Hardware Design.
  • Wide-spectrum of Scenario Coverage.
  • Quality Assurance with Human-in-the-loop.
OpenDV
OpenDV
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.
arXiv 2025
blog
huggingface
bilibili
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.
TPAMI 2024
Unlocking the future where autonomous driving meets the unlimited potential of language.
ECCV 2024 Oral
dataset
page
huggingface

Challenge 2025

Autonomous Grand Challenge

Honolulu

Honolulu

Workshop at ICCV 2025

Learning to See: Advancing Spatial Understanding for Embodied Intelligence

October 19, 2025