Literature DB >> 33500962

A Soft Robotic Wearable Wrist Device for Kinesthetic Haptic Feedback.

Erik H Skorina1, Ming Luo1, Cagdas D Onal1.   

Abstract

Advances in soft robotics provide a unique approach for delivering haptic feedback to a user by a soft wearable device. Such devices can apply forces directly on the human joints, while still maintaining the safety and flexibility necessary for use in close proximity to the human body. To take advantage of these properties, we present a new haptic wrist device using pressure-driven soft actuators called reverse pneumatic artificial muscles (rPAMs) mounted on four sides of the wrist. These actuators are originally pre-strained and release compressive stress under pressure, applying a safe torque around the wrist joints while being compact and portable, representing the first soft haptic device capable of real-time feedback. To demonstrate the functional utility of this device, we created a virtual path-following task, wherein the user employs the motion of their wrist to control their embodied agent. We used the haptic wrist device to assist the user in following the path and study their performance with and without haptic feedback in multiple scenarios. Our results quantify the effect of wearable soft robotic haptic feedback on user performance. Specifically, we observed that our haptic feedback system improved the performance of users following complicated paths in a statistically significant manner, but did not show improvement for simple linear paths. Based on our findings, we anticipate broader applications of wearable soft robotic haptic devices toward intuitive user interactions with robots, computers, and other users.
Copyright © 2018 Skorina, Luo and Onal.

Entities:  

Keywords:  haptics; human-robot interaction; pneumatics; soft robotics; wearable devices

Year:  2018        PMID: 33500962      PMCID: PMC7805937          DOI: 10.3389/frobt.2018.00083

Source DB:  PubMed          Journal:  Front Robot AI        ISSN: 2296-9144


  7 in total

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7.  Toward Modular Soft Robotics: Proprioceptive Curvature Sensing and Sliding-Mode Control of Soft Bidirectional Bending Modules.

Authors:  Ming Luo; Erik H Skorina; Weijia Tao; Fuchen Chen; Selim Ozel; Yinan Sun; Cagdas D Onal
Journal:  Soft Robot       Date:  2017-02-24       Impact factor: 8.071

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