HBS-1.2: Lightweight Socially Assistive Robot with 6-Ply Twisted Coiled Polymer Muscle-Actuated Hand

Author:

Singh Abhishek Pratap12ORCID,Palani Darshan12,Ahmed Onan12ORCID,Matharu Pawandeep Singh12ORCID,Linn Tristan12,Nguyen Trung3ORCID,Tadesse Yonas1245ORCID

Affiliation:

1. The Humanoid Biorobotics and Smart Systems (HBS Lab), The University of Texas at Dallas, Richardson, TX 75080, USA

2. Department of Mechanical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA

3. Department of Neurology, UT Southwestern Medical Center, Dallas, TX 75390, USA

4. Department of Electrical & Computer Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA

5. Department of Biomedical Engineering, The University of Texas at Dallas, Richardson, TX 75080, USA

Abstract

In this paper, a new socially assistive robot (SARs) called HBS-1.2 is presented, which uses 6-ply twisted and coiled polymer (TCP) artificial muscles in its hand to perform physical tasks. The utilization of 6-ply TCP artificial muscles in a humanoid robot hand is a pioneering advancement, offering cost effective, lightweight, and compact solution for SARs. The robot is designed to provide safer human–robot interaction (HRI) while performing physical tasks. The paper explains the procedures for fabrication and testing of the 6-ply TCP artificial muscles, along with improving the actuation response by using a Proportional-Integral-Derivative (PID) control method. Notably, the robot successfully performed a vision-based pick and place experiment, showing its potential for use in homecare and other settings to assist patients who suffer from neurological diseases like Alzheimer’s disease. The study also found an optimal light intensity range between 34 to 108 lumens/m2, which ensures minimal variation in calculated distance with 95% confidence intervals for robust performance from the vison system. The findings of this study have important implications for the development of affordable and accessible robotic systems to support elderly patients with dementia, and future research should focus on further improving the use of TCP actuators in robotics.

Funder

Yonas Tadesse’s Research Enhancement Fund

Publisher

MDPI AG

Subject

Control and Optimization,Control and Systems Engineering

Reference66 articles.

1. Alzheimer’s Association (2021). 2021 Alzheimer’s disease facts and figures. Alzheimer’s Dement., 17, 327–406.

2. Centers for Disease Control and Prevention (2021, June 20). U.S. Burden of Alzheimer’s Disease, Related Dementias to Double by 2060. Centers for Disease Control and Prevention, Available online: https://www.cdc.gov/media/releases/2018/p0920-alzheimers-burden-double-2060.html.

3. Campbell, S. (2021, June 20). New Research: 7.8 Million Direct Care Jobs Will Need to Be Filled by 2026. Available online: https://phinational.org/.

4. US prevalence and predictors of informal caregiving for dementia;Friedman;Health Aff.,2015

5. Vitanza, A., D’Onofrio, G., Ricciardi, F., Sancarlo, D., Greco, A., and Giuliani, F. (2019). Data Science for Healthcare, Springer.

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