Overhead tracking and control of a mobile robot

Bilal Fawaz, Jack Thompson, Rose Awen Brindle, William Robert Evans, Tomos Fearn, Claudio Massimo Coppola, Otar Akanyeti

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


An issue with bio-inspired robotics is knowledge transfer from biology to robots. Our paper provides a tracking and robot controller framework to allow a robot to copy the movement behaviours of a fish. This method receives fish coordinates from an image and translates these as way-points to the robot, by utilising an over-head depth camera. Sensor-motor data and front-facing camera images for the robot will be provided to a Learning by Demonstration (LbD) model to understand the movement and decision making of the fish. As of this paper, initial data collection has been completed and a robot tracking algorithm has been developed.
Original languageEnglish
Title of host publicationUKRAS22 Conference “Robotics for Unconstrained Environments” Proceedings
PublisherUK-RAS Network
Number of pages2
Publication statusPublished - 26 Aug 2022


  • tracking
  • bio-inspired robotics
  • mobile robot
  • learning by demonstration
  • ROS


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