3 papers
cs.RO2025
DynaRend: Learning 3D Dynamics via Masked Future Rendering for Robotic Manipulation
Jingyi Tian, Le Wang, Sanping Zhou +3
Learning generalizable robotic manipulation policies remains a key challenge due to the scarcity of diverse real-world training data. While recent approaches have attempted to miti…
cs.CV2025
SAMPO:Scale-wise Autoregression with Motion PrOmpt for generative world models
Sen Wang, Jingyi Tian, Le Wang +7
World models allow agents to simulate the consequences of actions in imagined environments for planning, control, and long-horizon decision-making. However, existing autoregressive…
cs.RO2025
FlowRAM: Grounding Flow Matching Policy with Region-Aware Mamba Framework for Robotic Manipulation
Sen Wang, Le Wang, Sanping Zhou +4
Robotic manipulation in high-precision tasks is essential for numerous industrial and real-world applications where accuracy and speed are required. Yet current diffusion-based pol…