Obstacle avoidance control strategy of a biomimetic wire-driven robot fish

  • Jiayong Chen
  • , Youdong Chen
  • , Binghuan Yu
  • , Ruxu Du
  • , Yong Zhong
  • , Fengran Xie

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Fish has attracted the attentions of researchers because of its excellent swimming performance in water, and biomimetic robot fish was then developed. For robot fish, it is quite significant to perceive its surroundings and then take actions automatically due to the unexpected obstacles. In this paper, a wire-driven robot fish, which can detect obstacles, is designed. We adopt Central Pattern Generator (CPG) for motion control of the robot fish which is capable for smooth transitions among different swimming modes. Moreover, an obstacle avoidance control strategy based on a rule base and a closed loop control structure based on PID algorithm are proposed, which can improve the robot fish's perception and reaction abilities to the surrounding environment. Finally, experiments are carried out to examine the feasibility of the proposed control strategy.

Original languageEnglish
Title of host publicationIEEE International Conference on Robotics and Biomimetics, ROBIO 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages326-331
Number of pages6
ISBN (Electronic)9781728163215
DOIs
StatePublished - Dec 2019
Externally publishedYes
Event2019 IEEE International Conference on Robotics and Biomimetics, ROBIO 2019 - Dali, China
Duration: 6 Dec 20198 Dec 2019

Publication series

NameIEEE International Conference on Robotics and Biomimetics, ROBIO 2019

Conference

Conference2019 IEEE International Conference on Robotics and Biomimetics, ROBIO 2019
Country/TerritoryChina
CityDali
Period6/12/198/12/19

Keywords

  • Central Pattern Generator
  • Obstacle Avoidance
  • Robot Fish

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