Deriving Minimal Sensory Configurations for Evolved Cooperative Robot Teams

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.

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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

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