Zhuohao Li — 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…

Cited by 0 Source ↗Scholar ↗

2026

RoboFlow4D: A Lightweight Flow World Model Toward Real-Time Flow-Guided Robotic Manipulation

Sixu Lin, Huaiyuan Xu, Junliang Chen, Zhuohao Li, Guangming Wang, Yixiong Jing +5

ICML 2026poster

Planning and acting in 3D environments is a fundamental capability for robotic manipulation in the real world. Although prior work has explored predictive flow planners to guide 3D manipulation, existing approaches often rely on modular pipelines stacking multiple submodels, resulting in high comput…

Cited by 3 Source ↗Scholar ↗