Title
Gait Optimization in AIBO Robots Using an Estimation of Distribution Algorithm
Abstract
In this paper we deal with the problem of automatically optimizing the gait of a robot for forward walking speed. Each different walking surface and/or the wear and tear of the robots determines the speed of the robot. This means that a specific gait for one surface may not be valid on another surface or even on the same surface some time later. Given a parametrized walk designed for the robot and one specific robot, we approach the problem of searching over the space of gaits for this robot by using an estimation of distribution algorithm and our knowledge of the problem, which allows us to considerably reduce the space of gaits over which the algorithm searches. We have implemented and tested our method using the Sony AIBO ERS-7 robot, significantly improving on our previous gait in a short period of training time.
Year
DOI
Venue
2008
10.1109/HIS.2008.41
HIS
Keywords
Field
DocType
sony aibo ers-7 robot,gait optimization,short period,different walking surface,specific gait,specific robot,algorithm search,training time,previous gait,distribution algorithm,parametrized walk,aibo,robots,estimation,foot,algorithm design and analysis,estimation of distribution algorithm,histograms
Robot control,Computer vision,Histogram,Algorithm design,Gait,Estimation of distribution algorithm,Simulation,Computer science,AIBO,Artificial intelligence,Robot,Preferred walking speed
Conference
ISBN
Citations 
PageRank 
978-0-7695-3326-1
2
0.38
References 
Authors
6
6