Abstract | ||
---|---|---|
Guiding visitors through an exhibit space such as a museum is an important, early application for mobile robots, and commercial robots designed for this purpose have become available. We consider the problem of using a single mobile robot to simultaneously direct multiple groups of visitors through a museum or exhibition, and formulate an objective function for this task. We show that an evolutionary robotics approach using a simple, low-fidelity simulator and genetic programming can automatically generate robot controllers which can perform this task better than hand-coded controllers as well as humans in both simulation and on a real robot. |
Year | DOI | Venue |
---|---|---|
2011 | 10.1109/CEC.2011.5949610 | IEEE Congress on Evolutionary Computation |
Keywords | Field | DocType |
hand-coded controllers,genetic programming,mobile robots,exhibit space,service robots,museum,robot controllers,genetic algorithms,visitor guiding,exhibition,robot tour guide,evolutionary robotics,mobile robot navigation,robot kinematics,human genetics,navigation,objective function,mobile robot | Social robot,Robot control,Evolutionary robotics,Computer science,Personal robot,Robot kinematics,Genetic programming,Artificial intelligence,Robot,Mobile robot | Conference |
ISSN | ISBN | Citations |
Pending | 978-1-4244-7834-7 | 0 |
PageRank | References | Authors |
0.34 | 11 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Hideru Hiruma | 1 | 1 | 0.70 |
Alex S. Fukunaga | 2 | 1160 | 105.00 |
Kazuki Komiya | 3 | 4 | 1.21 |
Hitoshi Iba | 4 | 1541 | 138.51 |