NDLI: Experimental study on autonomous mobile robot acquiring optimal action to avoid moving obstacles

Content Provider	Springer Nature Link
Author	Aoki, Takeshi Oka, Toshiaki Hayakawa, Soichiro Suzuki, Tatsuya Okuma, Shigeru
Copyright Year	1997
Abstract	The principal aim of this study was to show how an autonomous mobile robot can acquire the optimal action to avoid moving multiobstacles through interaction with the real world. In this paper, we propose a new architecture using hierarchical fuzzy rules, a fuzzy evaluation system, and learning automata. By using our proposed method, the robot autonomously acquires finely tuned behavior which allows it to move to its goal and avoid moving obstacles by using the steering and velocity control inputs simultaneously. We also show experimental results which confirm the feasibility of our method.
Starting Page	205
Ending Page	210
Page Count	6
File Format	PDF
ISSN	14335298
Journal	Artificial Life and Robotics
Volume Number	1
Issue Number	4
e-ISSN	16147456
Language	English
Publisher	Springer-Verlag
Publisher Date	1997-01-01
Publisher Place	Tokyo
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Autonomous mobile robot Hierarchical fuzzy rules Learning automaton Obstacle avoidance Computation by Abstract Devices Artificial Intelligence (incl. Robotics) Automation and Robotics
Content Type	Text
Resource Type	Article
Subject	Artificial Intelligence Biochemistry, Genetics and Molecular Biology

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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Experimental study on autonomous mobile robot acquiring optimal action to avoid moving obstacles