Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/101854
Title: Design of A Novel Passive Binary-Controlled Variable Stiffness Joint (BpVSJ) Towards Passive Haptic Interface Application
Authors: Awad, Mohammad I.
Gan, Dongming
Hussain, Irfan
Az-Zu'bi, Ali
Stefanini, Cesare
Khalaf, Kinda
Zweiri, Yahya
Dias, Jorge 
Seneviratne, Lakmal D.
Keywords: Variable Stiffness Mechanism; Passive Haptic Interface; Psychophysical Tasks
Issue Date: 2018
Serial title, monograph or event: IEEE Access
Volume: 6
Abstract: In this paper we present the design, development and experimental validation of a novel Binary-Controlled Variable Stiffness Joint (BpVSJ) towards haptic teleoperation and human interaction manipulators applications. The proposed actuator is a proof of concept of a passive revolute joint, where the working principle is based on the recruitment of series-parallel elastic elements. The novelty of the system lies in its design topology, including the capability to involve an (n) number of series-parallel elastic elements to achieve (2n) levels of stiffness, as compared to current approaches. Accordingly, the level of stiffness can be altered at any position without the need to revert to the initial equilibrium position. The BpVSJ has low energy consumption and short switching time, and is able to rotate freely at zero stiffness without limitations. Further smart features include scalability and relative compactness. This paper details the mathematical stiffness modeling of the proposed actuator mechanism, as well as the experimentally measured performance characteristics. The experimental results matched well with the physical-based modeling in terms of stiffness variation levels. Moreover, Psychophysical experiments were also conducted using (20) healthy subjects in order to evaluate the capability of the BpVSJ to display three different levels of stiffness that are cognitively realized by the users. The participants performed two tasks: a relative cognitive task and an absolute cognitive task. The results show that the BpVSJ is capable of rendering stiffness with high average relative accuracy (Relative Cognitive Task relative accuracy is 97.3%, and Absolute Cognitive Task relative accuracy is 83%).
URI: https://hdl.handle.net/10316/101854
ISSN: 2169-3536
DOI: 10.1109/ACCESS.2018.2876802
Rights: openAccess
Appears in Collections:I&D ISR - Artigos em Revistas Internacionais

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