Multi-Agent Control Using Coverage Over Time-Varying Domains

Abstract

Multi-agent coverage control is used as a mechanism to influence the behavior of a group of robots by introducing time-varying domains. The coverage optimization problem is modified to adopt time-varying domains, and the proposed control law possesses an exponential convergence characteristic. Complex multi-agent control is simplified by specifying the desired distribution and behavior of the robot team as a whole. In the proposed approach, design of the inputs to the multi-agent system, i.e., time-varying density and time-varying domain, are agnostic to the size of the system. Analytic expressions of surface and line integrals present in the control law are obtained under uniform density. The scalability of the proposed control strategy is analyzed and verified via numerical simulation. Experiments on real robots are used to test the proposed control law.