Forecasting conflicts in multi-robot systems based on intelligent feedback
Sekou A. K. Diane, Sergey V. Manko, Valery M. Lokhin · 2016
This paper provides a methodology for improving multi-robot systems efficiency in the objects transportation task. We describe an architecture of intellectual control system capable of planning and distributing tasks between robotic agents and show how deterministic multi-robot coordination can be augmented with an intelligent feedback to forecast potential motion conflicts between autonomous mobile robots. Experimental results presented in the paper confirm the reliability of the proposed approach.