Honeycomb Jamming: An Enabling Technology of Variable Stiffness Reconfiguration.

Soft Robot

Department of Mechanical and Automation Engineering, T Stone Robotics Institute, The Chinese University of Hong Kong, Shatin, Hong Kong, China.

Published: December 2021

AI Article Synopsis

  • Jamming technologies show potential for variable stiffness mechanisms but face limitations in stiffening capacity and positioning.
  • A new variable stiffness mechanism is introduced that enhances stiffening capabilities, is biocompatible, and allows for rapid transitions between flexible and rigid states through a method called variable stiffness reconfiguration.
  • This mechanism enables customization of soft robotics applications, improving performance in complex manipulator postures and object grasping, and is supported by experimental evaluations and finite element modeling.

Article Abstract

Jamming technologies are one of the promising approaches of variable stiffness mechanisms. However, there are problems limiting the broad application of jamming-based approaches such as a limited stiffening capacity and restricted stiffening position. This article presents a variable stiffness mechanism to achieve a rapid flexible to rigid state transition with biocompatibility, fail-safe design, and enhanced stiffening capacity. A novel strategy of reconfiguration of stiffening regions, which is entitled variable stiffness reconfiguration, is exploited to control not only the stiffnesses but also the positions and areas of the stiffening regions. At first, this article provides a new approach to the variable stiffness soft robotics community to enable both stiffness control and stiffening region adjustment. In this way, additional functions of the variable stiffness mechanisms including reproducing complex manipulator postures or customizing the soft gripper, through delivering functional units into or out of the devices, are demonstrated. Through reconfiguration, our design provides a generally applicable solution for a wide range of complex manipulator postures reproduced and objects grasped by reconfiguration of the stiffening regions. The variable stiffness mechanism is empirically evaluated with a comparison with other variable stiffness strategies in which the proposed solution shows greater stiffening capability, and an experimental search of optimal parameters of the honeycomb structure is presented. Finite element models, which have shown reasonable agreement with the empirical results, are constructed to model the stiffnesses, and an analytic model of the manipulator is derived to predict the posture.

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Source
http://dx.doi.org/10.1089/soro.2019.0188DOI Listing

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