Lieret M, Lukas J, Nikol M, Franke J (2020)
Publication Language: English
Publication Type: Journal article
Publication year: 2020
Book Volume: 51
Pages Range: 424-430
Conference Proceedings Title: Procedia Manufacturing, Volume 51
URI: https://www.sciencedirect.com/science/article/pii/S2351978920319156
DOI: 10.1016/j.promfg.2020.10.060
Open Access Link: https://www.sciencedirect.com/science/article/pii/S2351978920319156
Within recent years the gripping
and manipulation of individual objects using unmanned aerial vehicles
(UAVs) has become an area of broad scientific research as UAVs allow a
fast and three-dimensional transportation of the grasped objects.
However, currently there are neither standards for aerial gripping
devices nor are there grippers available that are both lightweight and
robust enough for the usage with drones and can provide the required
feedback on whether the gripping process was successful.
In
this paper, we therefore present a lightweight, low-cost and
self-diagnosing mechatronic jaw gripper for the application with
autonomous UAVs. The gripper offers an energy-saving design and an
integrated measurement system to detect whether an object was
successfully grasped. To evaluate the performance of the gripper it is
attached to a quadrotor and tested within different scenarios. The tests
include the detection of successfully grasped or dropped out objects
and the autonomous pickup and deposit.
APA:
Lieret, M., Lukas, J., Nikol, M., & Franke, J. (2020). A lightweight, low-cost and self-diagnosing mechatronic jaw gripper for the aerial picking with unmanned aerial vehicles. Procedia Manufacturing, 51, 424-430. https://doi.org/10.1016/j.promfg.2020.10.060
MLA:
Lieret, Markus, et al. "A lightweight, low-cost and self-diagnosing mechatronic jaw gripper for the aerial picking with unmanned aerial vehicles." Procedia Manufacturing 51 (2020): 424-430.
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