Implementing collective behaviors using the kilobot platform

• Main Authors: Beltran, Franchesca Agatha V., Cruzat, Hazel Anne P., De Sagun, Gia Nadine M., Magsino, Elmer R.
• Format: text
• Published: Animo Repository 2018
• Subjects: Swarm intelligence; Swarming (Military science); Intelligent transportation systems; Electrical and Computer Engineering; Electrical and Electronics
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/4250
• Institution: De La Salle University

In this paper, a starter pack of 10 Kilobots are used to provide an initial study and implementation of collective behaviors that can be used in military operations, disaster response, and intelligent transportation systems. Basic target-surrounding and search swarm algorithms are demonstrated. For all these behaviors, there are three basic roles, namely, searcher/walker, target, and base, that define the movement and response of a Kilobot. We present the empirical performance results based on the average time of accomplishing a goal and distance traveled, while sharing our personal experiences when performing the experiments, specifically information to the capabilities and limitations of the Kilobots. © 2018 Newswood Limited. All rights reserved.