Using Multi-Agent Systems in the Management of Collaborative Robots

Abstract

Multi-agent systems are an effective tool for managing collaborative robots, providing adaptability, autonomy, and flexible task distribution. This paper analyzes the main control methods,including centralized, decentralized, and hybrid approaches, as well as multi-agent system models such as reactive, deliberative, hybrid, and swarm-based. Their advantages and disadvantages are identified based on operational conditions. The study demonstrates that the hybrid control method, combined with a swarm or hybrid model, provides the best balance between efficiency, scalability, and adaptation speed in dynamic environments.