Author

Xin-Xin Liu

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Preprint Oct 2026

AgenticRoboRL: Bringing Coding-Agent Post-Training to Agentic Robotics

Agentic robotics systems combine planners with robot harnesses to perform complex manipulation tasks. Recent work improves these systems through better harnesses and external memory, but relies on powerful closed-source models as planners and does not improve the planners'own capabilities. In contrast, coding agents ha...

Xin-Xin Liu, Bing-Xin Xu, Wen-Rui Bao et al. · 0 citations

#artificial intelligence Preprint Oct 2026

ChunkAct: Action Chunking for Agentic Robotics

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 guidance of a memory and thereby generalizes to new tasks without retraining. This generality comes at a steep price in efficiency. Every primitive...

Bing-Xin Xu, Wen-Rui Bao, Xin-Xin Liu et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Recursive Video In-Context Learning for Agentic Robot

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. A demonstration video shows it, but fits poorly into an agent's context. The full video slows every turn, fixed keyframes lose the contact...

Wen-Rui Bao, Xin-Xin Liu, Bing-Xin Xu et al. · 1 citation