1 citations · 2 across the 5 of their papers we have counts for
4 papers · 1 filter
DELE-w0.5: Inferring Action from Future Latent State for Robotic Manipulation
Fenghao Lei, Zhixiong Huang, Long Yang +5
World-Action Models (WAMs) build robot control on video-generation backbones, which jointly predict dense future visual trajectories and robot actions. We argue that video generati…
SimLauncher: Launching Sample-Efficient Real-world Robotic Reinforcement Learning via Simulation Pre-training
Mingdong Wu, Lehong Wu, Yizhuo Wu +9
Autonomous learning of dexterous, long-horizon robotic skills has been a longstanding pursuit of embodied AI. Recent advances in robotic reinforcement learning (RL) have demonstrat…
TARGO: Benchmarking Target-driven Object Grasping under Occlusions
Yan Xia, Ran Ding, Ziyuan Qin +5
Recent advances in predicting 6D grasp poses from a single depth image have led to promising performance in robotic grasping. However, previous grasping models face challenges in c…
LVDiffusor: Distilling Functional Rearrangement Priors from Large Models into Diffusor
Yiming Zeng, Mingdong Wu, Long Yang +4
Object rearrangement, a fundamental challenge in robotics, demands versatile strategies to handle diverse objects, configurations, and functional needs. To achieve this, the AI rob…