NDLI: Study on the 3D printed robotic fish with autonomous obstacle avoidance behavior based on the adaptive neuro-fuzzy control

Content Provider	IEEE Xplore Digital Library
Author	Xin Deng Dingli Jiang Jin Wang Mingxu Li Qiaosong Chen
Copyright Year	2015
Description	Author affiliation: Chongqing Key Lab. of Comput. Intell., Chongqing Univ. of Posts & Telecommun., Chongqing, China (Xin Deng; Dingli Jiang; Jin Wang; Mingxu Li; Qiaosong Chen)
Abstract	A robotic fish should be designed to swim with the obstacle avoidance capability in the real world. In this paper, a neuro-fuzzy control method is proposed for a multi-joint robotic fish using 3D printing technology. For this method, we can use the general infrared sensors to measure the existence of obstacles and the distance from the robotic fish to the obstacles. With the inference and learning ability of the neuro-fuzzy control system, the robotic fish can move away from obstacles freely. Moreover, in order to solve the waterproof problem and facilitate the manufacturing, the 3D printing technology is introduced to construct a real 3D printed robotic fish. The simulations and real experiments demonstrate the merits and practical applicability of the proposed method.
Sponsorship	IEEE
Starting Page	000007
Ending Page	000012
File Size	1328237
Page Count	6
File Format	PDF
e-ISBN	9781479917624
DOI	10.1109/IECON.2015.7392068
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-11-09
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Collision avoidance Three-dimensional displays Robot sensing systems Printing Training Algorithm design and analysis
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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