How can I speed up multi-robot path planning?
K-ARC: Adaptive Robot Coordination for Multi-Robot Kinodynamic Planning
This paper introduces K-ARC (Kinodynamic Adaptive Robot Coordination), a new algorithm for planning the movement of multiple robots with dynamic constraints (like acceleration and turning speed). K-ARC blends traditional optimization and sampling-based planning methods, making it faster and more scalable than existing methods. It tackles movement conflicts between robots by breaking down the problem into smaller, manageable chunks, focusing coordination only where needed.
For LLM-based multi-agent systems, K-ARC's hybrid approach could inspire new ways to combine LLMs (for high-level planning or conflict resolution) with other algorithms (for detailed, constrained actions). The concept of adaptive problem decomposition could also prove useful for managing complex interactions within multi-agent LLM applications, improving scalability and efficiency by focusing LLM resources on critical decision points.