Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/11865
Title: Toward safe and high-performance human-robot collaboration via implementation of redundancy and understanding the effects of admittance term parameters
Authors: Kanık, Mert
Ayit, Orhan
Dede, Mehmet İsmet Can
Tatlıcıoğlu, Enver
New Jersey Institute of Technology
01. Izmir Institute of Technology
01. Izmir Institute of Technology
01. Izmir Institute of Technology
Keywords: Admittance control
Collaborative robots
Human-robot interaction
Obstacle avoidance
Redundancy resolution
Issue Date: 2022
Publisher: Cambridge University Press
Abstract: Summary Today, demandsin industrial manufacturing mandate humans to work with large-scale industrial robots, and this collaboration may result in dangerous conditions for humans. To deal with this situation, this work proposes a novel approach for redundant large-scale industrial robots. In the proposed approach, an admittance controller is designed to regulate the interaction between the end effector of the robot and the human. Additionally, an obstacle avoidance algorithm is implemented in the null space of the robot to prevent any possible unexpected collision between the human and the links of the robot. After safety performance of this approach is verified via simulations and experimental studies, the effect of the parameters of the admittance controller on the performance of collaboration in terms of both accuracy and total human effort is investigated. This investigation is carried out via 8 experiments by the participation of 10 test subjects in which the effect of different admittance controller parameters such as mass and damper are compared. As a result of this investigation, tuning insights for such parameters are revealed.
URI: https://doi.org/10.1017/S0263574721001569
https://hdl.handle.net/11147/11865
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Mechanical Engineering / Makina Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection

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