Takács, Kristóf and Mason, Alex and Christensen, Lars Bager and Haidegger, Tamás (2020) Robotic Grippers for Large and Soft Object Manipulation. In: IEEE 20th International Symposium on Computational Intelligence and Informatics (CINTI 2020), 2020.11.05-2020.11.07., Budapest. (In Press)
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Abstract
Grasping has always been considered a key domain of cyber-physical systems, through which action physical interaction can be achieved. This paper presents a systematic review of the state-of-the-art robotic soft object gripping solutions aimed for the food-industry, focusing on red meat handling. A categorized analysis about the currently used grippers is provided, that could be used or adapted to robotic meat-processing. The paper enlists various solutions and gripping principles for low-payload applications too, although the emphasis is on the classic shapelocking and force-locking grippers that are potentially capable of grasping and manipulating heavier specimens. The purpose of the scientific literature survey is mainly to identify exceptional and/or remarkable gripper-designs, or completely new gripping concepts, while the patent research presents complete, commercially available solutions.
| Item Type: | Conference or Workshop Item (Paper) |
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| Subjects: | Q Science / természettudomány > QA Mathematics / matematika > QA75 Electronic computers. Computer science / számítástechnika, számítógéptudomány T Technology / alkalmazott, műszaki tudományok > TK Electrical engineering. Electronics Nuclear engineering / elektrotechnika, elektronika, atomtechnika |
| Depositing User: | Dr. Tamas Haidegger |
| Date Deposited: | 20 Nov 2020 18:05 |
| Last Modified: | 03 Apr 2023 07:04 |
| URI: | http://real.mtak.hu/id/eprint/117226 |
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