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BŘEZINA, T., HOUŠKA, P., SINGULE, V.
Original Title
USING Q-LEARNING FOR FOUR-LEGGED ROBOT WALKING CONTROL
Type
conference paper
Language
English
Original Abstract
Significant goal in walking robot design is realization of autonomous system which is capable of motion in unknown environment. One of the possibilities how to reach necessary adaptability of control system without modeling of complex and unpredictable cases of system behaviour is the application of machine learning. From various learning paradigms the Q-learning is particularly attractive. For efficient and successful use of Q-learning the proper definition and discretization of state space of environment and state space of robot, suitable choice of action set is essential, and also the set of states and actions should be as small as possible.
Keywords
mechatronics, walking robots, machine learning, Q-learning
Authors
RIV year
2003
Released
24. 3. 2003
Publisher
Institute of Mechanics of Solids Faculty of Mechanical Engineering Brno University of Technologi
Location
Brno
ISBN
80-214-2312-9
Book
Mechtronics, Robotics and Biomechanics 2003
Edition number
1
Pages from
103
Pages to
104
Pages count
2
BibTex
@inproceedings{BUT9743, author="Tomáš {Březina} and Pavel {Houška} and Vladislav {Singule}", title="USING Q-LEARNING FOR FOUR-LEGGED ROBOT WALKING CONTROL", booktitle="Mechtronics, Robotics and Biomechanics 2003", year="2003", number="1", pages="2", publisher="Institute of Mechanics of Solids Faculty of Mechanical Engineering Brno University of Technologi", address="Brno", isbn="80-214-2312-9" }