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 – at Sydney, New South Wales

🚀 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

【4/5】🚘Production-validation

【3/5】📺Visualization ① Our Behaviour World Model seeds from real-world cases to synthesize what your dataset is missing — cut-ins, sudden braking, edge-case interactions at scale. ② Post-training with World Engine: before vs. after. ③/④ The post-trained E2E model deployed in WorldEngine.

【2/5】🎉Highlights - Data-driven long-tail discovery: Failure-prone scenarios are automatically identified from real-world driving logs by the pre-trained agent itself — no manual design, no synthetic perturbations. Photorealistic interactive simulation via 3DGS: Each discovered scenario is reconstructed into a fully controllable, real-time-renderable simulation environment with independent dynamic agent manipulation. - Behavior-driven scenario generation: Leverages Behavior World Model (BWM) to generalize and synthesize diverse traffic variations from existing long-tail scenarios, expanding sparse safety-critical events into a dense, learnable distribution. - RL-based post-training on synthesized safety-critical rollouts substantially outperforms scaling pre-training data alone — competitive with a ~10× increase in pre-training data. - Production-scale validation: Deployed on a mass-produced ADAS platform trained on 80,000+ hours of real-world driving logs, reducing simulated collision rate by up to 45.5% and achieving zero disengagements in a 200 km on-road test.

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

🚀 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