




OpenDriveLab
236 posts

@OpenDriveLab
Official account for OpenDriveLab @hkuniversity and Beyond. We do cutting-edge research in Robotics, Autonomous Driving. Email: [email protected]








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










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, then evaluates imagined states to derive advantage for policy improvement.



🧐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 opendrivelab.com/kai0-rl/ arxiv.org/abs/2602.11075 RISE is, to our knowledge, the first work to use a world model as an effective learning environment for challenging real-world manipulation, enabling policy improvement on tasks that demand high dynamics, dexterity, and precision. Incredible teamwork with @lin_kunyang111 @francislee2020 @YueXiangyu @HaoZhao_AIRSUN @smch_1127



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.








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.

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.