Multi-robot task-path collaborative optimization

Abstract

As robotics is widely used in intelligent manufacturing, logistics and unmanned systems, multi-robot systems have become a research hotspot for their high robustness, flexibility and parallelism. Task allocation and path planning are core to collaboration but face challenges in dynamic environments, communication limits and heterogeneous conflicts. This paper defines the problem, reviews architectures and algorithms, analyzes key challenges, and prospects future directions such as embodied intelligence and cloud-edge-device collaboration.