A comparative study of swarm foraging behaviors; Trophallaxis, task allocation and pheromone
Gokongwei College of Engineering
Manufacturing Engineering and Management
8th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2015
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.
Digitial Object Identifier (DOI)
Vicerra, R. P., Barcos, R. R., Bulan, J. S., Loterina, A. O., Oliver, S. O., Pineda, J. D., Dela Cruz, A. R., Roxas, E. A., Bandala, A. A., & Dadios, E. P. (2021). A comparative study of swarm foraging behaviors; Trophallaxis, task allocation and pheromone. 8th International Conference on Humanoid, Nanotechnology, Information Technology, Communication and Control, Environment and Management, HNICEM 2015 https://doi.org/10.1109/HNICEM.2015.7393259
Artificial Intelligence and Robotics