Title | ||
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Evolving controllers for high-level applications on a service robot: a case study with exhibition visitor flow control |
Abstract | ||
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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. Fukunaga | 1 | 1160 | 105.00 |
Hideru Hiruma | 2 | 1 | 0.70 |
Kazuki Komiya | 3 | 4 | 1.21 |
Hitoshi Iba | 4 | 1541 | 138.51 |