OpenDriveLab @OpenDriveLab

Proud to co-organize the AlpaSim E2E Closed-Loop Challenge with @kesai_labs and NVIDIA’s ASPIRE Group. This post traces the journey from NAVSIM to photorealistic closed-loop evaluation—and our shared effort to make progress in autonomous driving measurable. Learn more ↓

KE:SAI @kesai_labs

2 weeks ago

Making progress measurable in autonomous driving. Our new post traces the path from NAVSIM to the AlpaSim challenge: kesai.eu/blog/2026-09-0…

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Full episode dropping soon! Geeking out with @idomihs on EgoHumanoid: Unlocking In-the-Wild Loco-Manipulation with Robot-Free Egocentric Demonstration opendrivelab.com/EgoHumanoid/ Co-hosted by @micoolcho @DJiafei

Huge shout-out to our amazing organizing team @2318hhhz @wongfaikit @lucy_x_shi @smch_1127 Yasemin_Bekiroglu @francislee2020 — this wouldn't have happened without you! 🙌 📺 Our workshop recap is now live: RSS 2026 | Towards Robust Execution of Long-Horizon Whole-Body Control Tasks Catch the full playlist here 👇 youtube.com/playlist?list=… from @YouTube #rss226 #WholeBodyIntelligence #embodiedAI

🚀 Excited to announce our real world VLN dataset ! 📦 Human first-person collected indoor & outdoor & night. 🏆 LARGEST to date. Check it out now on Hugging Face and accelerate your real world navigation research! 👇 🔗 huggingface.co/datasets/OpenD… #EmbodiedAI #VLN

Sydney-bound for #RSS2026, and not gonna lie, we’re buzzing! 🔥 On our slate: OpenDriveLab.com/rss2026/ 🎤 Dr. Hongyang Li — Early Career Spotlight 📄 Two papers we're proud of: RISE & EgoHumanoid 🤖 A humanoid doing real work on the floor - July 13th Morning Workshop Full rundown + where to find us 👇 medium.com/@opendrivelab/… Come have a yarn. #EmbodiedAI #WholebodyIntelligence #VLA #WorldModels #Sydney #ICC

OpenDriveLab @OpenDriveLab

3 months ago

Sydney, come sundown. 🌃 OpenDriveLab x @Archon_Robotics are throwing an afterparty! TopTalents for Embodied AI, a social mixer at W Sydney, harbour views, golden hour, and the people building the next gen of Embodied Intelligence. 📅 Jul 14 · 7–10PM 📍 W Sydney 🎟️ Apply:

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Sydney, come sundown. 🌃 OpenDriveLab x @archon_robotics are throwing an afterparty! TopTalents for Embodied AI, a social mixer at W Sydney, harbour views, golden hour, and the people building the next gen of Embodied Intelligence. 📅 Jul 14 · 7–10PM 📍 W Sydney 🎟️ Apply: luma.com/0ml7kuwb #RSS2026 #EmbodiedAI #Sydney #WorldModel #FoundationModel

🚀 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

7 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

7 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