Yi-Xiang He — accepted AI-conference papers

2026

A Closed-Loop Multi-Agent Framework for Robust Multi-Robot Manipulation

Yi-Xiang He, Lan Wei, Haoming Cen, Jian-Jian Jiang, Zhuohao Li, Guanxing Lu +3

RSS 2026poster

Multi-robot systems provide the parallelism and redundancy necessary for long-horizon tasks, while Large Language Models (LLMs) offer the reasoning capabilities to decompose these objectives into actionable plans. However, effectively grounding this high-level reasoning in physical multi-agent execu…

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2025

Rethinking Bimanual Robotic Manipulation: Learning with Decoupled Interaction Framework

Jian-Jian Jiang, Xiao-Ming Wu, Yi-Xiang He, Ling-An Zeng, Yi-Lin Wei, Dandan Zhang +1

ICCV 2025poster

Bimanual robotic manipulation is an emerging and critical topic in the robotics community. Previous works primarily rely on integrated control models that take the perceptions and states of both arms as inputs to directly predict their actions. However, we think bimanual manipulation involves not on…

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