Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
Permanent URI for this collectionhttps://hdl.handle.net/11147/7148
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Conference Object Citation - WoS: 3Citation - Scopus: 3Experimental Evaluation of the Success of Peg-In Tasks Learned From Demonstration(IEEE, 2022) Argüz, Serdar Hakan; Ertuğrul, Şeniz; Altun, KeremIndustrial 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.Conference Object Citation - WoS: 9Citation - Scopus: 9Observer Based Adaptive Output Feedback Tracking Control of Robot Manipulators(Institute of Electrical and Electronics Engineers Inc., 2010) Zergeroğlu, Erkan; Tatlıcıoğlu, EnverIn this paper, we propose an observer based adaptive output feedback (OFB) tracking controller for rigid-link robot manipulators. Specifically, we used a model independent observer in conjuction with a desired compensation adaptation law (DCAL) to remove the link velocity dependency of the controller and achieved asymptotic stability of the observer-controller couple despite the uncertainties associated with the system dynamics. Lyapunov based arguments are utilized to illustrate the stability of the proposed controller. Simulation results are included to demonstrate the performance of observer-controller couple.