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Vision assisted disassembly using a dexterous hand-arm-system: An example and experimental results

Weigl, Alexandra ; Seitz, Matthias (2023)
Vision assisted disassembly using a dexterous hand-arm-system: An example and experimental results.
In: IFAC Proceedings Volumes, 1994, 27 (14)
doi: 10.26083/tuprints-00023359
Article, Secondary publication, Publisher's Version

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Item Type: Article
Type of entry: Secondary publication
Title: Vision assisted disassembly using a dexterous hand-arm-system: An example and experimental results
Language: English
Date: 2023
Place of Publication: Darmstadt
Year of primary publication: 1994
Publisher: IFAC - International Federation of Automatic Control
Journal or Publication Title: IFAC Proceedings Volumes
Volume of the journal: 27
Issue Number: 14
DOI: 10.26083/tuprints-00023359
Corresponding Links:
Origin: Secondary publication service
Abstract:

Future applications in automation of non-destructive disassembly processes - necessary and important for re-use of components - require highly sensorized and dexterous robot systems. The main elements of the presented system are a disassembly sequence planner using special elementary disassembly operations, a redundant hand-arm-system with fifteen degrees of freedom supplied by a six-axes robot and a three-fingered gripper, and a vision system used for offline grasp and motion planning as well as for online supervision. Besides a description of the overall system structure and explanation of the underlying ideas for special disassembly operations, the presentation of first results and experiences from disassembling some parts of a video camera recorder will be one of the centred points to be discussed.

Uncontrolled Keywords: hand-arm-eye system, grasp planning, hand-arm-coordination, disassembly, vision
Status: Publisher's Version
URN: urn:nbn:de:tuda-tuprints-233592
Additional Information:

Zugl. Konferenzveröffentlichung: Fourth IFAC Symposium on Robot Control (SY.RO.CO. '94), 19.-21.09.1994, Capri, Italy

Classification DDC: 600 Technology, medicine, applied sciences > 620 Engineering and machine engineering
Divisions: 18 Department of Electrical Engineering and Information Technology > Institut für Automatisierungstechnik und Mechatronik > Control Methods and Intelligent Systems
Date Deposited: 10 Mar 2023 10:15
Last Modified: 10 Aug 2023 08:44
URI: https://tuprints.ulb.tu-darmstadt.de/id/eprint/23359
PPN: 50813109X
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