Watson, James and Nitschke, Geoff (2015) Deriving Minimal Sensory Configurations for Evolved Cooperative Robot Teams, Proceedings of IEEE Congress on Evolutionary Computation (IEEE CEC 2015), Sendai, Japan., 3065-3071, IEEE Press.
![[img]](http://pubs.cs.uct.ac.za/style/images/fileicons/application_pdf.png) |
PDF
2015-Deriving_Minimal_Sensory_Configurations_for_Evolved_Cooperative_Robot_Teams.pdf Download (188kB) |
Abstract
This paper presents a study on the impact of different robot sensory configurations (morphologies) in simulated robot teams that must accomplish a collective (cooperative) behavior task. The study’s objective was to investigate if effective collective behaviors could be efficiently evolved given minimal morphological complexity of individual robots in an homogenous team. A range of sensory configurations are tested in company with evolved controllers for a collective construction task. Results indicate that a minimal sensory configuration yields the highest task performance, and increasing the complexity of the sensory configuration does not yield an increased task performance.
| Item Type: | Conference paper |
|---|---|
| Subjects: | Computing methodologies > Artificial intelligence |
| Date Deposited: | 23 Nov 2017 |
| Last Modified: | 10 Oct 2019 15:32 |
| URI: | http://pubs.cs.uct.ac.za/id/eprint/1198 |
Actions (login required)
 |
View Item |