Design of a Wheelchair-Mounted Robotic Arm for Feeding Assistance of Upper-Limb Impaired Patients

Author:

Leone Simone1,Giunta Luigi1,Rino Vincenzo1,Mellace Simone1,Sozzi Alessio1,Lago Francesco1ORCID,Curcio Elio Matteo1ORCID,Pisla Doina23ORCID,Carbone Giuseppe1ORCID

Affiliation:

1. DIMEG, Department of Mechanics, Energy, and Management Engineering, University of Calabria, 87036 Rende, Italy

2. CESTER, Research Center for Industrial Robots Simulation and Testing, Technical University of Cluj-Napoca, 400641 Cluj-Napoca, Romania

3. Technical Sciences Academy of Romania, 010413 Bucharest, Romania

Abstract

This paper delineates the design and realization of a Wheelchair-Mounted Robotic Arm (WMRA), envisioned as an autonomous assistance apparatus for individuals encountering motor difficulties and/or upper limb paralysis. The proposed design solution is based on employing a 3D printing process coupled with optimization design techniques to achieve a cost-oriented and user-friendly solution. The proposed design is based on utilizing commercial Arduino control hardware. The proposed device has been named Pick&Eat. The proposed device embodies reliability, functionality, and cost-effectiveness, and features a modular structure housing a 4-degrees-of-freedom robotic arm with a fixing frame that can be attached to commercial wheelchairs. The arm is integrated with an interchangeable end-effector facilitating the use of various tools such as spoons or forks tailored to different food types. Electrical and sensor components were meticulously designed, incorporating sensors to ensure user safety throughout operations. Smooth and secure operations are achieved through a sequential procedure that is depicted in a specific flowchart. Experimental tests have been carried out to demonstrate the engineering feasibility and effectiveness of the proposed design solution as an innovative assistive solution for individuals grappling with upper limb impairment. Its capacity to aid patients during the eating process holds promise for enhancing their quality of life, particularly among the elderly and those with disabilities.

Funder

project new frontiers in adaptive modular robotics for patient-centred medical rehabilitation—ASKLEPIOS

European Union—NextGenerationEU and Romanian Government, under National Recovery and Resilience Plan for Romania

Romanian Ministry of Research, Innovation and Digitalization, within Component 9, investment I8

Next Generation EU, PNRR MUR projects AGE-IT

PNRR MUR

Publisher

MDPI AG

Reference35 articles.

1. A survey on applications of human-robot interaction;Sharkawy;Sens. Transducers,2021

2. (2023, September 19). Italian Agency for Development of Cooperation, Available online: https://www.aics.gov.it/home-eng/fields/human-development/disability/.

3. World Health Organization (2023, September 19). World Report on Ageing and Health. Available online: https://apps.who.int/iris/handle/10665/186463.

4. Review: How Can Intelligent Robots and Smart Mechatronic Modules Facilitate Remote Assessment, Assistance, and Rehabilitation for Isolated Adults with Neuro-Musculoskeletal Conditions?;Atashzar;Front. Robot. AI,2021

5. Jiang, H.R., Wachs, J.P., Duerstock, B.S., and Pendergast, M. (2013, January 24–26). 3D Joystick for Robotic Arm Control by Individuals with High Level Spinal Cord Injuries. Proceedings of the IEEE International Conference on Rehabilitation Robotics, Seattle, WA, USA.

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3