Rehabilitation and Assistive Robotics: Enhancing Recovery Through Innovative Device Solutions

A special issue of Machines (ISSN 2075-1702). This special issue belongs to the section "Robotics, Mechatronics and Intelligent Machines".

Deadline for manuscript submissions: 31 May 2026 | Viewed by 921

Special Issue Editors


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Guest Editor
Department of Electrical Engineering, Polytechnic Institute of Setúbal, 2910-761 Setúbal, Portugal
Interests: assistive technology; human–machine interaction; robotics; sensory and control systems; electronics and instrumentation
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Electrical and Computer Engineering, NOVA School of Science and Technology, NOVA University Lisbon, 2829-516 Caparica, Portugal
Interests: human–machine interaction; assistive technology; automatic control and decision; fault tolerant control; industrial automation
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

In current times, there are several theoretical and practical challenges associated with rehabilitation and assistive robotics. This Special Issue is intended to share the state of the art of emerging approaches and novel techniques to find optimal solutions for open problems towards rehabilitation and assistive robotics. The main goals of this Special Issue are to facilitate discussion and promote new contributions on this theme among researchers from different perspectives, helping them to understand each other’s perspectives. Original contributions, including experimental validation, are expected. The topics of interest for this Special Issue include, but are not limited to, the following:

  • Rehabilitation devices;
  • Assistive robotics;
  • Innovative assistance prototypes;
  • Healthcare and biomedical devices and applications;
  • Cyber-physical systems;
  • Modeling, simulation, and control of rehabilitation devices;
  • Human–machine interaction;
  • Society 5.0.

Dr. Rui Azevedo Antunes
Dr. Luís Brito Palma
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Machines is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • rehabilitation devices
  • assistive robotics
  • healthcare and biomedical devices and applications

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Published Papers (1 paper)

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Research

22 pages, 4077 KB  
Article
Design and Verification of a Comprehensive Multi-Module Integrated Intelligent Bathing Assistance System
by Peng Xu, Chang Zhai, Yipeng Xiao, Leigang Zhang and Hongliu Yu
Machines 2026, 14(4), 431; https://doi.org/10.3390/machines14040431 - 12 Apr 2026
Viewed by 301
Abstract
Assistive bathing for the elderly and disabled presents significant challenges regarding caregiver workload and safety. This paper presents the design and verification of a multi-module integrated intelligent bathing assistance system. The system automates the entire bathing sequence through four coordinated modules: a robotic [...] Read more.
Assistive bathing for the elderly and disabled presents significant challenges regarding caregiver workload and safety. This paper presents the design and verification of a multi-module integrated intelligent bathing assistance system. The system automates the entire bathing sequence through four coordinated modules: a robotic scrubbing unit, a climate-controlled cabin, a passive multifunctional wheelchair, and a multi-degree-of-freedom transfer device. A key innovation is the wheelchair’s passive design with an automated docking mechanism, ensuring safety in wet environments. Unlike existing commercial solutions and the existing literature, which primarily focus on fragmented, singular functionalities (such as transfer-only devices or fixed-spray cabins), the core advantage of the developed system lies in its holistic integration of safe physical transfer, adaptive robotic scrubbing, and microenvironment control into a seamless, unified architecture. Employing a modular and ergonomic approach, the system executes a predefined 12-step automated workflow. Experimental validation demonstrates an average bathing time of 16.6 min and a quantifiable 69.8% reduction in caregiver workload, confirming the system’s high efficiency and practical utility in alleviating caregiver burden. Full article
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