Built-In 360 Degree Separation Monitoring for Grippers on Robotic Manipulators in Human-Robot Collaboration
- Efficient collaborative robotic applications need a combination of speed and separation monitoring, and power and force limiting operations. While most collaborative robots have built-in sensors for power and force limiting operations, there are none with built-in sensor systems for speed and separation monitoring. This paper proposes a system for speed and separation monitoring directly from theEfficient collaborative robotic applications need a combination of speed and separation monitoring, and power and force limiting operations. While most collaborative robots have built-in sensors for power and force limiting operations, there are none with built-in sensor systems for speed and separation monitoring. This paper proposes a system for speed and separation monitoring directly from the gripper of the robot. It can monitor separation distances of up to three meters. We used single-pixel Time-of-Flight sensors to measure the separation distance between the gripper and the next obstacle perpendicular to it. This is the first system capable of measuring separation distances of up to three meters directly from the robot's gripper.…


| Dokumentart: | Konferenzveröffentlichung |
|---|---|
| Art der Konferenzveröffentlichung: | Konferenzartikel |
| Zitierlink: | https://opus.hs-offenburg.de/4415 | Bibliografische Angaben |
| Titel (Englisch): | Built-In 360 Degree Separation Monitoring for Grippers on Robotic Manipulators in Human-Robot Collaboration |
| Konferenzangaben: | IRC: International Conference on Robotic Computing (4. : 9-11 Nov. 2020 : Taichung, Taiwan. Virtual Conference) |
| Verfasserangaben: | Urban Himmelsbach ORCiD, Thomas WendtStaff MemberORCiDGND |
| Erscheinungsjahr: | 2020 |
| Verlag: | IEEE |
| Seitenanzahl: | 4 |
| Erste Seite: | 156 |
| Letzte Seite: | 160 |
| Titel des übergeordneten Werkes (Englisch): | Proceedings: The Fourth IEEE International Conference on Robotic Computing |
| ISBN: | 978-1-7281-5237-0 (digital) |
| ISBN: | 978-1-7281-5238-7 (Print on Demand) |
| DOI: | https://doi.org/10.1109/IRC.2020.00031 |
| Sprache: | Englisch | Inhaltliche Informationen |
| Fakultäten / Einrichtungen: | Fakultät Wirtschaft (W) |
| Forschung: | WLRI - Work-Life Robotics Institute |
| Sammlungen der Hochschule Offenburg: | Bibliografie | Formale Angaben |
| Open-Access-Status: | Closed Access |
| Lizenz (Deutsch): | Urheberrechtlich geschützt |




