Insect-inspired reaching for a flying robot

Lead Research Organisation: University of Edinburgh
Department Name: Sch of Informatics

Abstract

Visually guided reaching behaviour is important for robotics, and has been studied in humans, fixed-base robot arms and humanoid robots. As yet, autonomous flying vehicles are rarely equipped with appendages for reaching out to interact with objects in the world, and how reaching behaviour can be controlled from a robot in flight is a new field of study. This project takes inspiration from the hawkmoth which can hover in front of a flower and use visual information to make precisely targeted movements to allow its long proboscis to contact the nectar. Under natural conditions, as the flower and the moth encounter wind disturbance, the moth can adjust its body and proboscis maintain a stable contact for the time needed to feed from the flower. The relatively small number of neurons in the moth brain suggests they may have an efficient and effective control algorithm that could be translated to a robot task. In collaboration with biologists studying the moth, this project will characterise the behaviour, devise neural algorithms for control, and test these on a flying robot platform which should be able to pinpoint and remain in contact with a small target under disturbances.

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/S023208/1 30/09/2019 30/03/2028
2602451 Studentship EP/S023208/1 12/09/2021 11/09/2025 Aruna Raman