Automatic tracking and analysis of fish trajectories for developing a bio-inspired robot controller

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)

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Abstract

Bio-inspired controllers may help robots better adapt to dynamic and unpredictable environments. In this paper, we present work in progress towards developing an automated tool for tracking and analysis of fish trajectories. These trajectories will be used to develop a bio-inspired robot controller through learning by demonstration paradigm.
Original languageEnglish
Title of host publicationUKRAS22 Conference “Robotics for Unconstrained Environments” Proceedings
PublisherUK-RAS Network
Pages88-89
Number of pages2
DOIs
Publication statusPublished - 26 Aug 2022

Keywords

  • bio-inspired robot controller
  • deeplabcut
  • fish tracking
  • learning by demonstration

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