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 ↓

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 👇 piped.video/playlist?list=PL… from @YouTube #rss226 #WholeBodyIntelligence #embodiedAI

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/ope… Come have a yarn. #EmbodiedAI #WholebodyIntelligence #VLA #WorldModels #Sydney #ICC

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/wo…) 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

📢📢📢 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/wor… #RSS2026 #AI #Embodied

🚀 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

【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/Worl… Huggingface: huggingface.co/datasets/Open… Project Page: opendrivelab.com/WorldEngine… Teamwork from @OpenDriveLab Shoutout to @sephy_li @ilnehc @francislee2020 @CaojunWang @GeorgeL94133026 📢

【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/Worl… #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/TAME… ✨ 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

Go for #WorldEngine!!!

🚀 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

Proud to announce the strategic partnerships with 3 Leading Embodied AI companies. Together with Unitree, Noitom Robotics, and BrainCo, HKU’s Embodied Intelligence Joint Lab is live at our Zhangjiang base. We’re in this for the long game: turning embodied intelligence into a durable, shared foundation for what comes next. Builders: let’s collaborate. Press Release: hku.hk/press/news_detail_289… @HKUniversity @hkudatascience @HKU_CDS @YiMaTweets @francislee2020 @UnitreeRobotics @noitomrobotics @BrainCo_Tech #EmbodiedAI #Robotics

📣 #Recognition #ResearchAward As we usher in the Year of Horse, our team recognizes outstanding members from the past year in the exceptional contribution of areas. Congratulations!!! Let’s rock ‘n’ roll in 2026 🕶️🍾🎆🥂#opendrivelab

⁉️ Humans perform loco-manipulation everywhere, every day.
What if robots could learn from that? 📣 Our latest work EgoHumanoid introduces the first human–humanoid co-training framework, transferring in-the-wild #Egocentric data to real humanoids. 🎯 The future of robotics is human-driven data at scale.
Let’s build the #DataInfra together.

【1/5】❓Why do Vision-Language Navigation (VLN) agents need "step-by-step" language instructions? No.❌ We only want to give a intent. 📍 Meet SparseVideoNav: a new paradigm that uses video generation to navigate like a human. Tell the destination. Imagine the path. Reach the goal. 🌄🤖 Paper: arxiv.org/abs/2602.05827 Page：opendrivelab.com/SparseVideo… Github：github.com/OpenDriveLab/Spar…

Key Technical Highlights: - 21 fully actuated degree-of-freedom - 350 gram hand weight without remote motors - Never overheating with remote actuation - 15 tactile sensors with 1mm spatial and 0.1N force resolution - 2 palm cameras with 140° FoV and controllable LED - 21 finger joint angle sensors - 21 tension sensing & self-tighting devices - Tendon connectors for rapid finger / motor replacement - SPI/I2C interfaces for in-hand sensors - TTL/CAN interfaces for standard motors - 3D-printed structure for easy mechanical modifications - Arduino programming for easy software modifications - Fully open-source including CAD, assembly guide, electronics, and software - 1400 USD material Cost

We're inviting a small group of hands-on researchers and makers to co-iterate MM-Hand 1.0, an open-source low-cost dexterous hand. Selected applicants will receive beta-version hardware in early 2026 at cost price (~USD $1,400 but tax not included) and direct engineering help.

🦾 【MM-Hand 1.0】Open-Source, Lightweight, High-DoF, Multimodal, Modular Design for Easy Disassembly and Modification 🔗 Details: mmlab.hk/research/MM-Hand 🎁 Beta Program: forms.gle/QhaHGCigY6buuSNfA 📮 Inquiries: research@mmlab.hk #MMHand #DexterousHand #Robotics #OpenSource #EmbodiedAI #TactileSensing