Author

Guanxing Lu

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Open access Jul 2026

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

This work proposes a hierarchical closed-loop agentic LLM-based framework to ensure robust multi-robot manipulation and achieves superior success rates, ensures robust adaptability ranging from single to cross workspace manipulation, and offers a generalizable approach for diverse manipulation tasks.

Yi-Xiang He, Lan Wei, Haoming Cen et al. · Robotics · 0 citations

Jul 2026

Native Video-Action Pretraining for Generalizable Robot Control

LingBot-VA 2.0 is presented, a video-action foundation model built from the ground up for embodiment, which introduces a semantic visual-action tokenizer, which aligns visual representations with both semantics and actions, improving instruction following and action precision in subsequent policy learning.

Qihang Zhang, Lin Li, Luyao Zhang et al. · arXiv.org · 11 citations · ⚡3