NDLI: ANFIS generated dynamic path planning for a mobile robot to track a randomly moving target in a 3-D space with obstacle avoidance

Content Provider	IEEE Xplore Digital Library
Author	Peng-Yung Woo Polisetty, V.
Copyright Year	2010
Description	Author affiliation: Department of Electrical Engineering, Northern Illinois University, Dekalb, IL 60115, USA (Peng-Yung Woo; Polisetty, V.)
Abstract	This article addresses the dynamic path planning for mobile robots in a 3-D space with obstacle avoidance and moving target tracking. A new mathematical approach to calculating the dynamic path in a 3-D space is proposed. An adaptive network-based fuzzy inference system (ANFIS) with the use of the mathematical results is then implemented to generate automatically the dynamic path of the mobile robot. This approach allows implementing faster decision-making and can be seen as an efficient algorithm to avoid obstacles and to track moving targets. Simulation results validate the performance of the proposed scheme.
Starting Page	1
Ending Page	8
File Size	267111
Page Count	8
File Format	PDF
ISBN	9781424469192
ISSN	10987584
e-ISBN	9781424469215
DOI	10.1109/FUZZY.2010.5584168
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-07-18
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Mobile robots Equations Safety Firing Vehicle dynamics Target tracking
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Artificial Intelligence Theoretical Computer Science Software

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ANFIS generated dynamic path planning for a mobile robot to track a randomly moving target in a 3-D space with obstacle avoidance