Abstract
Autonomous multi-robot systems are restricted by their coordination ability with one another. Coordination entails the simultaneous division of tasks, the assignment of tasks, the formation of teams, the scheduling of tasks, and the routing of tasks. These activities are called task planning. Task planning is essential for the execution of task allocation problems in multi-robot systems. This study investigates the application of a decentralized queuing mechanism for task coordination in the context of mobile robots. Heuristic and strategic coordination strategies are used in developing the proposed system. The completion time and the distance traveled to process a demand are the two metrics used to evaluate the performance of robots in their respective operation field. The robots that used the stochastic queueing strategy achieved competitive results with those of the other robots.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
