OpenDriveLab @OpenDriveLab

🚀 Join us at the #CVPR 2026 Workshop: From Labs to Life: Embodied Intelligence in the Wild (opendrivelab.com/cvpr2026/works…) As embodied AI moves into the real world, we ask: how can agents perceive, reason, and act reliably in the wild? Featuring invited talks from: Hao Su, Zhiyu Huang, Jiahui Lei, Yilun Du, Rika Antonova, Jiatao Gu. 📅 9:00 AM - 5:30 PM, June 3, 2026 📍 Four Seasons 1, Colorado Convention Center. #CVPR #EmbodiedAI #PhysicalAI #Robotics

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SimScale is fully open-sourced!!! 📄 arXiv: arxiv.org/abs/2511.23369 💻 Code: github.com/OpenDriveLab/S… 🤗 Ckpts + Sim Data: huggingface.co/datasets/OpenD…

🎉 Excited to share our recent work SimScale, which has been accepted to CVPR 2026 as Oral presentation! 🤖Can we improve policies via scaling synthetic experience? 😢End-to-end driving policies struggles on safety-critical & OOD scenarios that are rare in human logs. To tackle this, SimScale features: 🏗️ A scalable simulation pipeline synthesizes diverse, high-fidelity reactive driving scenarios upon existing logs. (See attached visualization as one synthetic data sample). 🚀 With pseudo-expert demonstrations, Sim-real co-training boosts LTF / DiffusionDrive / GTRS-Dense, up to +8.6 EPDMS on navhard, +2.9 on navtest. 🔬 Performance scales smoothly by adding simulation data alone, with no extra real-world data needed. Joint effort by @HCTian713, @francislee2020, @OpenDriveLab, @sephy_li

📢📢📢 Call for Contributions @ RSS 2026 Towards Robust Execution of Long-Horizon Whole-Body Control Tasks 🧑‍💻👩‍💻🧑‍💻 Speakers: - Javier Alonso-Mora (TU Delft) - Leslie Pack Kaelbling (MIT) - Shan Luo (King's College London) - Hamidreza Kasaei (University of Groningen) - Roberto Martín-Martín (UT Austin) - Fan Shi (NUS) 📝📝📝 Call for Contributions: We invite researchers to share their work with the community through submissions to the workshop in a variety of formats beyond traditional papers, including reports, demos, video, and etc. Submissions may include research papers or reports, but we equally welcome alternative formats such as videos demonstrating systems in action, demos, interactive artifacts, or other creative presentations of research ideas. We particularly welcome ongoing, preliminary, or exploratory work. 🌍🌍🌍 Website: opendrivelab.com/rss2026/worksh… #RSS2026 #AI #Embodied

🤗RISE got accepted to RSS 2026! Can't wait to see everybody in Sydney! 💻Code: github.com/OpenDriveLab/R…

Jiazhi Yang @jiazhi_yang2024

4 months ago

RISE (3/N) To address this bottleneck, we introduce RISE: Reinforcement learning via Imagination for SElf-improving robots. RISE shifts the learning environment from physical world to a Compositional World Model, which first emulates future observations for proposed actions,

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🚀 MM-Hand 1.0 Tech Report released: a 21-DoF multi-modal modular dexterous robotic hand with remote tendon-driven actuation. Motors are relocated outside the hand, freeing space for tactile sensors, joint encoders, in-palm stereo vision, and maintainable modular fingers. MM-Hand achieves 25N fingertip force through 1m tendon-sheath transmission and supports closed-loop joint control for dexterous manipulation research. Paper: arxiv.org/abs/2604.17245 Page: opendrivelab.com/MM-Hand #Robotics #DexterousHand #EmbodiedAI

🌏 RISE is now open-sourced! github.com/OpenDriveLab/R…

Jiazhi Yang @jiazhi_yang2024

4 months ago

🧐Applying world models to improve real-world policy on challenging manipulation tasks used to be considered out of reach. 😌After sustained effort, we’re now seeing encouraging progress. 🚀Thrilled to introduce RISE: Self-Improving Robot Policy with Compositional World Model

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@tarantulae @francislee2020 @ClementDelangue @sephy_li Let's discuss in github.com/OpenDriveLab/W…

【5/5】That's all! Hope #WorldEngine brings you fresh insights into post-training infrastructure for Physical AI. If you find it useful, please give it a star 🌟！ Github: github.com/OpenDriveLab/W… Huggingface: huggingface.co/datasets/OpenD… Project Page: opendrivelab.com/WorldEngine/ Teamwork from @OpenDriveLab Shoutout to @sephy_li @ilnehc @francislee2020 @CaojunWang @GeorgeL94133026 📢

【4/5】🚘Production-validation

【1/5】🌍 WorldEngine: Towards the Era of Post-Training for Physical AI 🎯 A post-training framework for Physical AI that systematically addresses the long-tail safety-critical data scarcity problem in autonomous driving. 🧱The missing infrastructure for Physical AI post-training in AD. Open-source. Production-validated. github.com/OpenDriveLab/W… #WorldEngine #PhysicalAI #OpenDriveLab

UMI made robot data collection intuitive. 🤖 TAMEn takes it further — bringing vision and touch into a unified, closed-loop learning system. 🌏 opendrivelab.com/TAMEn 📑 arxiv.org/abs/2604.07335 🔗 github.com/OpenDriveLab/T… ✨ What’s new: - Dual-mode data collection (MoCap ↔ VR) - Online replayability check - AR-in-the-loop + real-time tactile feedback (tAmeR) - Self-evolving pyramid data pipeline 🚀 Results: 34% → 75% success rate on bimanual tasks. This marks a shift from usable data to self-improving data engines. TAMEn turns robots from "blind operators" into tactile-aware, evolving collaborators. #EmbodiedAI #Tactile #Robotics #Bimanual #TAMEn

#WorldEngine is one of the most exciting projects in AD in the past years! It's a post-training framework tackling the scarcity of long-tail safety-critical scenarios by: mining -> 3DGS reconstruction and dynamic agents control w/ behavior world models -> RL post-training.

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Hongyang Li @francislee2020

2 months ago

Introducing #WorldEngine, github.com/OpenDriveLab/W…, a two-year long project. The missing infrastructure for Physical AI post-training in Autonomous driving. Open-source. Production-validated.

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Physical AI post-training (especially for AD) has been constrained by the high cost of real-world interaction. Now, WorldEngine offers a promising solution Let's go for WorldEngine! Incredible work from @OpenDriveLab!

Hongyang Li @francislee2020

2 months ago

Introducing #WorldEngine, github.com/OpenDriveLab/W…, a two-year long project. The missing infrastructure for Physical AI post-training in Autonomous driving. Open-source. Production-validated.

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Go for #WorldEngine!!!

Hongyang Li @francislee2020

2 months ago

Introducing #WorldEngine, github.com/OpenDriveLab/W…, a two-year long project. The missing infrastructure for Physical AI post-training in Autonomous driving. Open-source. Production-validated.

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SimScale is selected as CVPR 2026 Oral 🎉🥳 Code, simulation data, and checkpoints have been fully open-sourced. 📷Home: opendrivelab.com/SimScale/ 📷Paper: arxiv.org/abs/2511.23369 📷Github: github.com/OpenDriveLab/S… If you find something useful, please give it a star⭐

OpenDriveLab @OpenDriveLab

6 months ago

1/n 🎉 SimScale: Learning to Drive via Real-World Simulation at Scale 🤖 An innovative real-world simulation pipeline and a real-sim co-training strategy that significantly boost the robustness and generalization of any end-to-end planner. 📈 For the first time, we reveal the

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🚀 EgoHumanoid is now open-sourced! A framework to realize human-to-humanoid transfer for loco-manipulation. Full pipeline released: Pico human data collection → Unitree G1 robot data collection→ VLA training & deployment. All code available 👇 ⭐ github.com/OpenDriveLab/E…

Modi Shi @idomihs

4 months ago

Humanoid robots have been prisoners of the lab. We set them free — with human data. We present EgoHumanoid: The first endorsement of human-to-humanoid transfer for whole-body loco-manipulation. 🔗 Home: opendrivelab.com/EgoHumanoid 📑 Arxiv: arxiv.org/abs/2602.10106 🧵👇

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🚀 Introducing SMASH — the world’s first high-dynamic humanoid robot for outdoor table tennis, fully autonomous with onboard perception. No motion capture needed—SMASH uses only onboard sensors for stable, full-body human–robot interaction in real-world settings. Embodied intelligence is stepping out of the lab. 🔗mmlab.hk/Smash/ #HumanoidRobots #TableTennis #RobotLearning #SportsTech #AI #OpenDriveLab #Algorithms