Automatic tracking and analysis of fish trajectories for developing a bio-inspired robot controller
Title: Automatic tracking and analysis of fish trajectories for developing a bio-inspired robot controller
Authors: Claudio Massimo Coppola (Aberystwyth University); Lissa O’Reilly (Aberystwyth University); Sarah Dales-man (Aberystwyth University); Otar Akanyeti (Aberystwyth University);
Year: 2022
Citation: Coppola, C., O’Reilly, L., Dales-man, S., Akanyeti, O., (2022). Automatic tracking and analysis of fish trajectories for developing a bio-inspired robot controller. UKRAS22 Conference “Robotics for Unconstrained Environments” Proceedings, 88-89. doi: 10.31256/Mb6Zo1T
Abstract:
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.