Abi-Farraj, Firas ; Pacchierotti, Claudio ; Arenz, Oleg ; Neumann, Gerhard ; Giordano, Paolo Robuffo (2019)
A Haptic Shared-Control Architecture for Guided Multi-Target Robotic Grasping.
In: IEEE Transactions on Haptics, 13 (2)
doi: 10.1109/TOH.2019.2913643
Artikel, Bibliographie
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Kurzbeschreibung (Abstract)
Although robotic telemanipulation has always been a key technology for the nuclear industry, little advancement has been seen over the last decades. Despite complex remote handling requirements, simple mechanically linked master-slave manipulators still dominate the field. Nonetheless, there is a pressing need for more effective robotic solutions able to significantly speed up the decommissioning of legacy radioactive waste. This paper describes a novel haptic shared-control approach for assisting a human operator in the sort and segregation of different objects in a cluttered and unknown environment. A three-dimensional scan of the scene is used to generate a set of potential grasp candidates on the objects at hand. These grasp candidates are then used to generate guiding haptic cues, which assist the operator in approaching and grasping the objects. The haptic feedback is designed to be smooth and continuous as the user switches from a grasp candidate to the next one, or from one object to another one, avoiding any discontinuity or abrupt changes. To validate our approach, we carried out two human-subject studies, enrolling 15 participants. We registered an average improvement of 20.8%, 20.1%, and 32.5% in terms of completion time, linear trajectory, and perceived effectiveness, respectively, between the proposed approach and standard teleoperation.
| Typ des Eintrags: | Artikel |
|---|---|
| Erschienen: | 2019 |
| Autor(en): | Abi-Farraj, Firas ; Pacchierotti, Claudio ; Arenz, Oleg ; Neumann, Gerhard ; Giordano, Paolo Robuffo |
| Art des Eintrags: | Bibliographie |
| Titel: | A Haptic Shared-Control Architecture for Guided Multi-Target Robotic Grasping |
| Sprache: | Englisch |
| Publikationsjahr: | 2019 |
| Ort: | Darmstadt |
| Verlag: | IEEE |
| Titel der Zeitschrift, Zeitung oder Schriftenreihe: | IEEE Transactions on Haptics |
| Jahrgang/Volume einer Zeitschrift: | 13 |
| (Heft-)Nummer: | 2 |
| Kollation: | 17 Seiten |
| DOI: | 10.1109/TOH.2019.2913643 |
| Zugehörige Links: | |
| Kurzbeschreibung (Abstract): | Although robotic telemanipulation has always been a key technology for the nuclear industry, little advancement has been seen over the last decades. Despite complex remote handling requirements, simple mechanically linked master-slave manipulators still dominate the field. Nonetheless, there is a pressing need for more effective robotic solutions able to significantly speed up the decommissioning of legacy radioactive waste. This paper describes a novel haptic shared-control approach for assisting a human operator in the sort and segregation of different objects in a cluttered and unknown environment. A three-dimensional scan of the scene is used to generate a set of potential grasp candidates on the objects at hand. These grasp candidates are then used to generate guiding haptic cues, which assist the operator in approaching and grasping the objects. The haptic feedback is designed to be smooth and continuous as the user switches from a grasp candidate to the next one, or from one object to another one, avoiding any discontinuity or abrupt changes. To validate our approach, we carried out two human-subject studies, enrolling 15 participants. We registered an average improvement of 20.8%, 20.1%, and 32.5% in terms of completion time, linear trajectory, and perceived effectiveness, respectively, between the proposed approach and standard teleoperation. |
| Freie Schlagworte: | Grasping, Task analysis, Manipulators, Grippers, Service robots, Shared control, teleoperation, active constraints, virtual fixtures, grasping |
| Zusätzliche Informationen: | Video: https://t1p.de/5d4ju The video shows the experimental setup along with a demonstration of the proposed architecture highlighting the different control modes. |
| Sachgruppe der Dewey Dezimalklassifikatin (DDC): | 000 Allgemeines, Informatik, Informationswissenschaft > 004 Informatik |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Intelligente Autonome Systeme |
| Hinterlegungsdatum: | 02 Aug 2024 12:45 |
| Letzte Änderung: | 02 Aug 2024 12:45 |
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| Suche nach Titel in: | TUfind oder in Google |
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A Haptic Shared-Control Architecture for Guided Multi-Target Robotic Grasping. (deposited 25 Nov 2022 12:50)
- A Haptic Shared-Control Architecture for Guided Multi-Target Robotic Grasping. (deposited 02 Aug 2024 12:45) [Gegenwärtig angezeigt]
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