OpenDriveLab ORG

WorldEngine: Towards the Era of Post-Training for Autonomous Driving

[CVPR 2026 Oral] Learning to Drive via Real-World Simulation at Scale

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

[IROS 2025 Best Paper Award Finalist & IEEE TRO 2026] The Large-scale Manipulation Platform for Scalable and Intelligent Embodied Systems

[ICLR 2026] Towards Unified Latent VLA for Whole-body Loco-manipulation Control

Code for kai0, including training, inference and data collection.

[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving

[IEEE T-PAMI 2023] Awesome BEV perception research and cookbook for all level audience in autonomous diriving

[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering

[RSS 2025] Learning to Act Anywhere with Task-centric Latent Actions

[NeurIPS 2024] A Generalizable World Model for Autonomous Driving

[CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving

[ICCV 2023] OccNet: Scene as Occupancy

[NeurIPS 2023 Track Datasets and Benchmarks] OpenLane-V2: The First Perception and Reasoning Benchmark for Road Driving

[ECCV 2022 Oral] OpenLane: Large-scale Realistic 3D Lane Dataset

[ECCV 2022 Oral] Perspective Transformer on 3D Lane Detection

[NeurIPS 2022] Trajectory-guided Control Prediction for End-to-end Autonomous Driving: A Simple yet Strong Baseline.

3D Occupancy Prediction Benchmark in Autonomous Driving

[ECCV 2022] ST-P3, an end-to-end vision-based autonomous driving framework via spatial-temporal feature learning.

[ICLR 2024] Map Learning with Lane Segment for Autonomous Driving

[CVPR 2024 Highlight] Visual Point Cloud Forecasting

[Accepted at SCIENCE CHINA Information Sciences 2026] Graph-based Topology Reasoning for Driving Scenes

[RSS 2026] Code for RISE: Self-Improving Robot Policy with Compositional World Model

Our insights of Openpilot, a deepdive project on it

[ICCV 2025] Detect Anything 3D in the Wild

[CVPR 2023] Pytorch implementation of ThinkTwice, a SOTA Decoder for End-to-end Autonomous Driving under BEV.

[ICCV 2023 Oral] A New Paradigm for End-to-end Autonomous Driving to Alleviate Causal Confusion

[ECCV 2024] Embodied Understanding of Driving Scenarios

[ICRA 2026] Agility Meets Stability: Versatile Humanoid Control with Heterogeneous Data

[RSS 2026] The first framework enabling humanoid robots to learn whole-body loco-manipulation from egocentric human demos

[NeurIPS 2025 Spotlight] ReSim: Reliable World Simulation for Autonomous Driving

[NeurIPS 2024] Behavioral Topology (BeTop), a multi-agent behavior formulation for interactive motion prediction and planning

MTGS: Multi-Traversal Gaussian Splatting

[ICLR 2023] Pytorch implementation of PPGeo, a fully self-supervised driving policy pre-training framework to learn from unlabeled driving videos.

[NeurIPS 2024] CLOVER: Closed-Loop Visuomotor Control with Generative Expectation for Robotic Manipulation

[ICRA 2026] FreeTacMan: Robot-free Visuo-Tactile Data Collection System for Contact-rich Manipulation

[IEEE T-PAMI 2023] Unified heterogeneous transformer-based graph neural network for motion prediction

[ICCV 2025] Nexus: Decoupled Diffusion Sparks Adaptive Scene Generation

[RSS 2024] Learning Manipulation by Predicting Interaction

LightwheelOcc: A 3D Occupancy Synthetic Dataset in Autonomous Driving

RoboDual: Dual-System for Robotic Manipulation

Sparse Video Generation Model for Embodied Navigation conditioned on loose language guidance, 100% real world verification

[CVPR 2023] Official repository for paper "Stare at What You See: Masked Image Modeling without Reconstruction"

Tactile-Aware Manipulation Engine for Closed-Loop Data Collection in Contact-Rich Tasks

[ICCV 2025] ETA: Efficiency through Thinking Ahead, A Dual Approach to Self-Driving with Large Models

No description.

Official codebase for paper 'RoboNaldo: Accurate, Stable and Powerful Humanoid Soccer Shooting via Motion-Guided Curriculum Reinforcement Learning'

No description.

Assets for Competition Servers on Huggingface

ELM

Official deployment repository for the paper 'RoboNaldo: Accurate, Stable and Powerful Humanoid Soccer Shooting via Motion-Guided Curriculum Reinforcement Learning'.

Fork of NVIDIA Isaac-GR00T for TouchRefine tactile policy refinement research.