Title
Evolving an effective robot tour guide
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 Hiruma110.70
Alex S. Fukunaga21160105.00
Kazuki Komiya341.21
Hitoshi Iba41541138.51