Paper
25 May 2016 The role of vision in perching and grasping for MAVs
Author Affiliations +
Abstract
In this work, we provide an overview of vision-based control for perching and grasping for Micro Aerial Vehicles. We investigate perching on at, inclined, or vertical surfaces as well as visual servoing techniques for quadrotors to enable autonomous perching by hanging from cylindrical structures using only a monocular camera and an appropriate gripper. The challenges of visual servoing are discussed, and we focus on the problems of relative pose estimation, control, and trajectory planning for maneuvering a robot with respect to an object of interest. Finally, we discuss future challenges to achieve fully autonomous perching and grasping in more realistic scenarios.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Justin Thomas, Giuseppe Loianno, Kostas Daniilidis, and Vijay Kumar "The role of vision in perching and grasping for MAVs", Proc. SPIE 9836, Micro- and Nanotechnology Sensors, Systems, and Applications VIII, 98361S (25 May 2016); https://doi.org/10.1117/12.2224056
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Cited by 1 scholarly publication.
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KEYWORDS
Visualization

Cameras

Sensors

Micro unmanned aerial vehicles

Electroluminescent displays

Computing systems

Global Positioning System

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