Path planning algorithm for autonomous underwater robots in diving plane

Jian Gao, De Min Xu, Wei Sheng Yan

Research output: Contribution to journalArticlepeer-review

Abstract

A path planning algorithm for autonomous underwater robots in diving plane is presented. Using fuzzy inference system (FIS), the desired depth is derived according to the depth and the distance to bottom. The computer simulations proved that this path planning algorithm can successfully control the vehicle to avoid diving too deep/low or crashing on the bottom, and keep the proper height to improve the measurement accuracy of the Doppler velocity log (DVL).

Original languageEnglish
Pages (from-to)806-807+811
JournalXitong Fangzhen Xuebao / Journal of System Simulation
Volume17
Issue number4
StatePublished - Apr 2005

Keywords

  • Autonomous underwater robots
  • Diving plane
  • Fuzzy inference system
  • Path planning

Fingerprint

Dive into the research topics of 'Path planning algorithm for autonomous underwater robots in diving plane'. Together they form a unique fingerprint.

Cite this