Design of a novel passive binary-controlled variable stiffness joint (BpVSJ) towards passive haptic interface application

Mohammad I. Awad, Dongming Gan, Irfan Hussain, Ali Az-Zu'Bi, Cesare Stefanini, Kinda Khalaf, Yahya Zweiri, Jorge Dias, Lakmal D. Seneviratne

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

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%).

Original languageBritish English
Article number8496765
Pages (from-to)63045-63057
Number of pages13
JournalIEEE Access
Volume6
DOIs
StatePublished - 2018

Keywords

  • Passive Haptic Interface
  • Psychophysical Tasks
  • Variable Stiffness Mechanism

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