Combined Optimization of Gripper Finger Design and Pose Estimation Processes for Advanced Industrial Assembly

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Abstrakt

Vision systems are often used jointly with robotic manipulators to perform automated tasks in industrial applications. Still, the correct set up of such workcells is difficult and requires significant resources. One of the main challenges, when implementing such systems in industrial use cases, is the pose uncertainties presented by the vision system which have to be handled by grasping. In this paper, we present a framework for the design and analysis of optimal gripper finger designs and vision parameters. The proposed framework consists of two parallel methods which rely on vision and grasping simulation to provide an initial estimation of the uncertainty compensation capabilities of the designs. In case the compensation is not feasible with the initial design, an optimization process is introduced, to select the optimal pose estimation parameters and finger designs for the presented task.
The proposed framework was evaluated in dynamic simulation and implemented in a real industrial use case.
OriginalsprogEngelsk
Titel2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
ForlagIEEE
Publikationsdatonov. 2019
Sider2022-2029
ISBN (Trykt)978-1-7281-4005-6
ISBN (Elektronisk)9781728140049
DOI
StatusUdgivet - nov. 2019
Begivenhed 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) - Macau, Kina
Varighed: 3. nov. 20198. nov. 2019

Konference

Konference 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
LandKina
ByMacau
Periode03/11/201908/11/2019
NavnI E E E International Conference on Intelligent Robots and Systems. Proceedings
ISSN2153-0858

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