A comparative study of swarm foraging behaviors; Trophallaxis, task allocation and pheromone

• Main Authors: Vicerra, Ryan Rhay P., Barcos, Ralph Nicole R., Bulan, Jan Kenneth S., Loterina, Adriel Joseph O., Oliver, S. O., Pineda, John Miguel D.G., Dela Cruz, Angelo R., Roxas, Edison A., Bandala, Argel A., Dadios, Elmer P.
• Format: text
• Published: Animo Repository 2021
• Subjects: Swarm intelligence; Artificial Intelligence and Robotics
• Online Access: https://animorepository.dlsu.edu.ph/faculty_research/4289
• Institution: De La Salle University

A group of algorithm enhancing such collective behavior is inspired by the animals working together as a group such as ants, bees, and etc. In connection, swarm is defined as a set of two or more independent homogenous or heterogeneous agents acting upon a common environment in a coherent fashion which generates emergent behavior. The development of artificial swarms or robotic swarms has attracted a lot of researchers in the last two decades including pheromone, trophallaxis and task allocation algorithms. However among these swarm based algorithms, the most efficient in terms of group performance, efficiency and interference in collecting the dusts or objects in an environment with variable terrains. With this, the researchers see the need to develop a swarm simulation platform that would compare the swarm- behavior-based algorithms for an ideal use of robots in different environments in dust collection. © 2015 IEEE.