SOURCE-LINKED INTELLIGENCE
Coordinated Motion Planning for Multi-Arm Systems via Iterative LQ Games
Multi-agent motion planning for high-degree-of-freedom robotics manipulators in shared workspaces remains a fundamental yet challenging problem. Centralized planners often suffer from poor scalability, while decentralized approaches face robustness and safety concerns. Game-theoretic formulations offer a promising approach for modeling agent interactions, potentially overcoming these limitations. However, their application to articulated multi-arm systems remains limited. This paper presents an iterative Linear Quadratic (LQ) game framework for multi-manipulator motion planning, where each man
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-27T21:33:38.000Z
First collected: 2026-09-21T08:32:02.028Z. This is not the publication date.