Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/12568
Title: Experimental evaluation of the success of peg-in-hole tasks learned from demonstration
Authors: Argüz, Serdar Hakan
Ertuğrul, Şeniz
Altun, Kerem
İzmir Ekonomi Üniversitesi
Keywords: Demonstrations
Peg-in-hole tasks
Industrial robots
Budget control
Issue Date: 2022
Publisher: IEEE
Abstract: Industrial robots are traditionally programmed by hard-coding the desired motion into them. That approach, however, costs significant time and effort and shows little to no promise in transferring human skills to robots. Programming by demonstration (PbD) is an alternative approach that allows robots to learn tasks from demonstrations. Because of its several advantages over the traditional method, PbD is particularly suited for tasks encountered in assembly operations, the most typical of which is the peg-in-hole task. A successful PbD implementation for a peg-in-hole task requires that the peg should still be inserted into the hole even under situations that are not encountered during the demonstrations. Previous research in the field shows that the success rate of a peg-in-hole task under such cases varies greatly. In this study, we use a UR5 manipulator to experimentally investigate how the success rate of a peg-in-hole task changes with respect to the novelty of the task, quantified in terms of the distance of the hole to its original position. It is found that the success ratio decreases as the novelty of the task increases. To increase the performance, the use of strategies that alter the robot's motion dynamically in the run time is suggested for future work.
URI: https://doi.org/10.1109/CoDIT55151.2022.9804111
https://hdl.handle.net/11147/12568
Appears in Collections:Mechanical Engineering / Makina Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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