Detail publikace

USING Q-LEARNING FOR FOUR-LEGGED ROBOT WALKING CONTROL

BŘEZINA, T. HOUŠKA, P. SINGULE, V.

Anglický název

USING Q-LEARNING FOR FOUR-LEGGED ROBOT WALKING CONTROL

Typ

Stať ve sborníku v databázi WoS či Scopus

Jazyk

en

Originální abstrakt

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.

Klíčová slova anglicky

mechatronics, walking robots, machine learning, Q-learning

Vydáno

2003-03-24

Nakladatel

Institute of Mechanics of Solids Faculty of Mechanical Engineering Brno University of Technologi

Místo

Brno

ISBN

80-214-2312-9

Kniha

Mechtronics, Robotics and Biomechanics 2003

Strany od–do

103–

Počet stran

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"
}