We present an approach that uses Q-learning on individual robotic agents, for coordinating a missiontasked team of robots in a complex scenario. To reduce the size of the state sp...
Abstract— For the multi-robot coverage problem deterministic deliberative as well as probabilistic approaches have been proposed. Whereas deterministic approaches usually provide...
Human control of multiple robots has been characterized by the average demand of single robots on human attention or the distribution of demands from multiple robots. When robots ...
Multi-robot area coverage poses several research challenges. The challenge of coordinating multiple robots’ actions coupled with the challenge of minimizing the overlap in covera...
Abstract— Distributed coordination is critical for a multirobot system in hazardous waste cleanup under a dynamic environment. To achieve higher efficiency as well as robustness,...