Generative Intelligence-Based Swarm Robots Control and Human-Robot Symbiotic Society

Intelligent robots have been widely applied in various aspect of human society, and the emergence of generative pre-trained transformer models has accelerated the era of swarm robots and the formation of a symbiotic society between robots and humans. In this paper, a framework of generative intelligence-based swarm robots (GISR) control and human-robot symbiotic society is proposed and discussed. First, a cluster synchronization definition for GISR with multiple leaders is given. Inspired by the social behavior of organisms, leaders can be eliminated and elected in cluster synchronization. Then, the definitions of GISR intent estimation and quasi-estimation are given, and a model predictive estimation method is proposed. What is more, models of GISR coupled system and coupled attacks are proposed. Moreover, a framework of human-robot symbiotic society is proposed and analyzed. Finally, a physical generative intelligence-based swarm robots system and human-robot symbiotic society system is investigated in the lab.