AffiliationRoyal Academy of Engineering; University of Chester
MetadataShow full item record
AbstractIn nature bees and leaf-cutter ants communicate to improve cooperation during food retrieval. This research aims to model communication in a swarm of auton-omous robots. When food is identified robot communication is emitted within a limited range. Other robots within the range receive the communication and learn of the location and size of the food source. The simulation revealed that commu-nication improved the rate of cooperative food retrieval tasks. However a counter-productive chain reaction can occur when robots repeat communications from other robots causing cooperation errors. This can lead to a large number of robots travelling towards the same food source at the same time. The food becomes de-pleted, before some robots have arrived. Several robots continue to communicate food presence, before arriving at the food source to find it gone. Nature-inspired communication can enhance swarm behaviour without requiring a central control-ler and may be useful in autonomous drones or vehicles.
CitationVaughan N. (2018) Evolutionary Robot Swarm Cooperative Retrieval. In: Vouloutsi V. et al. (eds) Biomimetic and Biohybrid Systems. Living Machines 2018. Lecture Notes in Computer Science, vol 10928. Springer.
DescriptionThe final publication is available at Springer via https://doi.org/10.1007/978-3-319-95972-6_55
Except where otherwise noted, this item's license is described as https://creativecommons.org/licenses/by-nc-nd/4.0/