How can I build flexible, adaptable multi-robot navigation in rough terrain?
MRS-CWC: A Weakly Constrained Multi-Robot System with Controllable Constraint Stiffness for Mobility and Navigation in Unknown 3D Rough Environments
This paper introduces MRS-CWC (Multi-Robot System with Controllable Weak Constraints), a novel approach to multi-robot navigation in challenging 3D terrains. Instead of relying on complex environmental mapping and path planning, robots are connected by adjustable-stiffness joints and navigate by simply following a target direction while dynamically adapting their physical interconnectedness to the terrain.
While not directly using LLMs, the core concepts of decentralized control and environmental adaptation through simple rules are relevant to LLM-based multi-agent systems. The idea of emergent complex behavior arising from simple individual agent rules (like adjusting joint stiffness based on local sensor data) could be explored with LLMs defining agent behaviors within a virtual environment. The dynamic adaptation of constraints within MRS-CWC also mirrors the potential for LLMs to dynamically adjust interaction protocols and communication strategies within a multi-agent system based on context and environmental factors.