4 papers · 1 filter
ChunkAct: Action Chunking for Agentic Robotics
Bingxin Xu, Wenrui Bao, Xinxin Liu +3
Agentic robotics places a large language model (LLM) agent in the robot control loop, where it composes perception, motion, and vision-language-action (VLA) tools under the guidanc…
Recursive Video In-Context Learning for Agentic Robot
Wenrui Bao, Xinxin Liu, Bingxin Xu +1
LLM agents that orchestrate frozen vision-language-action (VLA) policies improve across episodes through text memory, which records what the agent did but not how the task is done.…
DeltaWAM: Change-Centric Visual Foresight via Delta Tokens for an Efficient World-Action Model
Tianyun Jiang, Wenrui Bao, Bingxin Xu +2
World-Action Models (WAMs) offer visual foresight for robotic manipulation, but pixel-space models repeatedly reconstruct entire future scenes, incurring high computational cost an…
Surgical WAM: A World-Action Model for Data-Efficient Surgical Robot Learning
Wenrui Bao, Tianyun Jiang, Zhiben Chen +3
Learning reliable surgical manipulation policies is bottlenecked by the scarcity of action-labeled demonstrations: teleoperated surgical robot (e.g., dVRK) trajectories with synchr…