Title
Evolving controllers for high-level applications on a service robot: a case study with exhibition visitor flow control
Abstract
We investigate the application of simulation-based genetic programming to evolve controllers that perform high-level tasks on a service robot. As a case study, we synthesize a controller for a guide robot that manages the visitor traffic flow in an exhibition space in order to maximize the enjoyment of the visitors. We used genetic programming in a low-fidelity simulation to evolve a controller for this task, which was then transferred to a service robot. An experimental evaluation of the evolved controller in both simulation and on the actual service robot shows that it performs well compared to hand-coded heuristics, and performs comparably to a human operator.
Year
DOI
Venue
2012
10.1007/s10710-011-9152-3
Genetic Programming and Evolvable Machines
Keywords
Field
DocType
Genetic programming,Evolutionary robotics,Service robotics,Applications
Computer science,Genetic programming,Control engineering,Heuristics,Artificial intelligence,Robot control,Control theory,Evolutionary robotics,Simulation,Robot,Visitor pattern,Machine learning,Service robot
Journal
Volume
Issue
ISSN
13
2
1389-2576
Citations 
PageRank 
References 
1
0.36
27
Authors
4
Name
Order
Citations
PageRank
Alex S. Fukunaga11160105.00
Hideru Hiruma210.70
Kazuki Komiya341.21
Hitoshi Iba41541138.51