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.
|Title of host publication||UKRAS22 Conference “Robotics for Unconstrained Environments” Proceedings|
|Number of pages||2|
|Publication status||Published - 26 Aug 2022|
- bio-inspired robot controller
- fish tracking
- learning by demonstration