Paper Info
Title
Evolutionary Acquisition of Autonomous Specialization in a Path-Formation Task of a Robotic Swarm.
Abstract
Task allocation is an important concept not only in biological systems but also in artificial systems. This paper reports a case study of autonomous task allocation behavior in an evolutionary robotic swarm. We address a path-formation task that is a fundamental task in the field of swarm robotics. This task aims to generate the collective path that connects two different locations by using many simple robots. Each robot has a limited sensing ability with distance sensors, a ground sensor, and a coarse-grained omnidirectional camera to perceive its local environment and the limited actuators composed of two colored LEDs and two-wheeled motors. Our objective is to develop a robotic swarm with autonomous specialization behavior from scratch, by exclusively implementing a homogeneous evolving artificial neural network controller for the robots to discuss the importance of embodiment that is the source of congestion. Computer simulations demonstrate the adaptive collective behavior that emerged in a robotic swarm with various swarm sizes and confirm the feasibility of autonomous task allocation for managing congestion in larger swarm sizes.
Year
DOI
Venue
2018
10.20965/jaciii.2018.p0621
JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS
Keywords
Field
DocType
evolutionary robotics,task allocation,division of labor,task specialization
Evolutionary robotics,Swarm behaviour,Computer science,Artificial intelligence,Machine learning
Journal
Volume
Issue
ISSN
22
5
1343-0130
Citations 
PageRank 
References 
0
0.34
0
Authors
3
Name
Order
Citations
PageRank
Motoaki Hiraga122.41
Toshiyuki Yasuda25715.99
Kazuhiro Ohkura39324.69