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BŘEZINA, T., HOUŠKA, P., SINGULE, V.
Original Title
Walking Gait of Four-Legged Robot Obtained Throug Q Learning
English Title
Type
conference paper
Language
Czech
Original Abstract
The possible method of walking policy obtaining of four-legged robot through Q-learning is discussed in the contribution. Q-learning is implemented using architecture represented by nondeterministic state machine that defines both possible discrete states and admissible transitions between them. Discrete state is designed as indicators vector of goals achievement by single simultaneously activated instances of two basic controllers. Only simultaneous activations that guarantee static stability of robot are admissible even in the case when single activations cold not achieve its goals. The controllers attempt to achieve its goals using on-line minimization process. Q-learning sequentially improves an estimation of future benefit from usage of admissible simultaneous activations in single discrete states. Walking policy is generated through activations with the highest estimation of future benefit.
English abstract
Key words in English
mechatronics, walking robots, machine learning, Q-learning
Authors
RIV year
2003
Released
12. 5. 2003
Publisher
Institute of Theoretical and Applied Mechanics, Academy of Sciences of the Czech Republic, Prague
Location
Praha
ISBN
80-86246-18-3
Book
Engeneering Mechanics 2003
Edition number
1
Pages from
36
Pages to
37
Pages count
2
BibTex
@inproceedings{BUT7626, author="Tomáš {Březina} and Pavel {Houška} and Vladislav {Singule}", title="Walking Gait of Four-Legged Robot Obtained Throug Q Learning", booktitle="Engeneering Mechanics 2003", year="2003", number="1", pages="2", publisher="Institute of Theoretical and Applied Mechanics, Academy of Sciences of the Czech Republic, Prague", address="Praha", isbn="80-86246-18-3" }