Study of Skinner Automaton Implemented on a Two-Wheeled Robot

DOI

10.2991/eeic-13.2013.59How to use a DOI?

Keywords

operant conditioning; learning automaton; two-wheeled robot

Abstract

Learning is the main aim of robotics. In this paper we present a new stochastic learning automaton called a Skinner automaton as a psychological model for formalizing the theory of operant conditioning. We identify animal operant learning with a thermodynamic process, and derive a so-called Skinner algorithm from Monte Carlo method and Metropolis algorithm and simulated annealing. The Skinner automaton is implemented on a two-wheeled robot with a flexible lumbar in a simulation experiment and it learns to keep balance successfully.

Copyright

© 2013, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Xuan Wu
AU  - XiaoGang Ruan
AU  - Xiaoping Zhang
AU  - Ouattara Sie
PY  - 2013/12
DA  - 2013/12
TI  - Study of Skinner Automaton Implemented on a Two-Wheeled Robot
BT  - Proceedings of the 3rd International Conference on Electric and Electronics
PB  - Atlantis Press
SP  - 253
EP  - 256
SN  - 1951-6851
UR  - https://doi.org/10.2991/eeic-13.2013.59
DO  - 10.2991/eeic-13.2013.59
ID  - Wu2013/12
ER  -