Title
A novel approach to locomotion learning: Actor-Critic architecture using central pattern generators and dynamic motor primitives.
Abstract
In this article, we propose an architecture of a bio-inspired controller that addresses the problem of learning different locomotion gaits for different robot morphologies. The modeling objective is split into two: baseline motion modeling and dynamics adaptation. Baseline motion modeling aims to achieve fundamental functions of a certain type of locomotion and dynamics adaptation provides a "reshaping" function for adapting the baseline motion to desired motion. Based on this assumption, a three-layer architecture is developed using central pattern generators (CPGs, a bio-inspired locomotor center for the baseline motion) and dynamic motor primitives (DMPs, a model with universal "reshaping" functions). In this article, we use this architecture with the actor-critic algorithms for finding a good "reshaping" function. In order to demonstrate the learning power of the actor-critic based architecture, we tested it on two experiments: (1) learning to crawl on a humanoid and, (2) learning to gallop on a puppy robot. Two types of actor-critic algorithms (policy search and policy gradient) are compared in order to evaluate the advantages and disadvantages of different actor-critic based learning algorithms for different morphologies. Finally, based on the analysis of the experimental results, a generic view/architecture for locomotion learning is discussed in the conclusion.
Year
DOI
Venue
2014
10.3389/fnbot.2014.00023
FRONTIERS IN NEUROROBOTICS
Keywords
Field
DocType
actor-critic,central pattern generators (CPG),reinforcement learning,locomotion control,NAO robot
Control theory,Architecture,Nao robot,Gait,Motor primitives,Computer science,Artificial intelligence,Robot,Central pattern generator,Machine learning,Reinforcement learning
Journal
Volume
ISSN
Citations 
8
1662-5218
3
PageRank 
References 
Authors
0.51
20
3
Name
Order
Citations
PageRank
Cai Li1786.80
Robert Lowe211112.22
Tom Ziemke368167.03