A Tailless Flapping Wing MAV Performing Monocular Visual Servoing Tasks

Conference Paper (2019)
Author(s)

D.A. Olejnik (TU Delft - Control & Simulation)

Matěj Karásek (TU Delft - Control & Simulation)

Bart Duisterhof (Student TU Delft)

K.Y.W. Scheper (TU Delft - Control & Simulation)

Tom van Dijk (TU Delft - Control & Simulation)

Guido C.H.E.de de Croon (TU Delft - Control & Simulation)

Copyright
© 2019 D.A. Olejnik, M. Karasek, Bart Duisterhof, K.Y.W. Scheper, Tom van Dijk, G.C.H.E. de Croon
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Publication Year
2019
Language
English
Copyright
© 2019 D.A. Olejnik, M. Karasek, Bart Duisterhof, K.Y.W. Scheper, Tom van Dijk, G.C.H.E. de Croon
Pages (from-to)
60-66
Reuse Rights

Other than for strictly personal use, it is not permitted to download, forward or distribute the text or part of it, without the consent of the author(s) and/or copyright holder(s), unless the work is under an open content license such as Creative Commons.

Abstract

In the field of robotics, a major challenge is achieving high levels of autonomy with small vehicles that have limited mass and power budgets. The main motivation for designing such small vehicles is that, compared to their larger counterparts, they have the potential to be safer, and hence be available and work together in large numbers. One of the key components in micro robotics is efficient software design to optimally utilize the computing power available. This paper describes the computer vision and control algorithms used to achieve autonomous flight with the _30-gram tailless flapping wing robot, used to participate in the IMAV 2018 indoor micro air vehicle competition. Several tasks are discussed: line following, and circular gate detection and fly-through. The emphasis throughout this paper is on augmenting traditional techniques with the goal to make these methods work with limited computing power while obtaining robust behaviour.

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