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Abstract:
Aimed at solving the problem of two-wheeled robot's balance control in movement, a kind of artificial sensorimotor system named TWR-SMS (two-wheeled robot sensorimotor system) is established, which endows the robot with the ability to keep balance through contacting with the environment. The cognitive system of the TWR-SMS is designed based on learning automaton, and the concepts of curiosity and orientation are introduced, as well as the mechanism of intrinsic motivation which can help the robot explore and learn the environment actively is designed. The experiments' results show that the mechanism of the intrinsic motivation not only improves the robot's ability of self-learning and self-organizing, but also avoids the small probability event effectively, which helps keep the robot with high stability. The comparative experiments with linear quadratic regulator (LQR) show that this system has better robustness. Copyright © 2016 Acta Automatica Sinica. All rights reserved.
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Acta Automatica Sinica
ISSN: 0254-4156
Year: 2016
Issue: 8
Volume: 42
Page: 1175-1184
Cited Count:
WoS CC Cited Count: 0
SCOPUS Cited Count: 6
ESI Highly Cited Papers on the List: 0 Unfold All
WanFang Cited Count:
Chinese Cited Count:
30 Days PV: 2
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