Abstract
A group of autonomous agents can agree on a set of in advance in order to reduce the complexity of conflict resolution later in the field when they are dispatched to achieve the given task. However, it is conceivable that under certain situations, the agents may have to violate the social laws to carry out the task more efficiently or even survive in the field. We thus consider the issue of fusing the social laws and a set of for handling exceptions in the context of dynamic path planning for a group of autonomous mobile robots. We report some results that indicate that a fusion of social laws and super rules can help us to design effective algorithms.
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.
