Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
3.0
2.1
Journals
Machines
Special Issues
Advances in Medical and Rehabilitation Robots
share announcement

Advances in Medical and Rehabilitation Robots

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

Deadline for manuscript submissions: 30 November 2025 | Viewed by 377

Special Issue Editors

Dr. Xu Liang

E-Mail Website
Guest Editor
School of Automation and Intelligence, Beijing Jiaotong University, Beijing, China
Interests: medical robot; human–robot interaction
Dr. Jiantao Yang

E-Mail Website
Guest Editor
School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, China
Interests: mechanism; robot control; biosignal processing
Dr. Tingting Su

E-Mail Website
Guest Editor
School of Information Science and Technology, Beijing University of Technology, Beijing, China
Interests: robot and intelligent system; continuum robot

Special Issue Information

Dear Colleagues,

With the aging of the global population and the increase in the number of patients with chronic diseases and disabilities, traditional medical treatment and rehabilitation methods are facing challenges, such as insufficient resources and inefficiency. By combining artificial intelligence, robotics, and precision medicine, medical and rehabilitation robots can provide efficient and accurate solutions for surgery, diagnosis, rehabilitation, and other fields.

This Special Issue aims to explore recent advances and technologies in the field of medical and rehabilitation robots, providing doctors and academics with new solutions and perspectives on medical problems.

Dr. Xu Liang
Dr. Jiantao Yang
Dr. Tingting Su
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 100 words) can be sent to the Editorial Office for announcement on this website.

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

  • medical and rehabilitation robots
  • force sensing and force control
  • bionic design
  • multi-agent cooperative control
  • trajectory planning
  • intelligent control
  • mechanical structure optimization
  • human–robot interaction
  • kinematics and dynamics

Benefits of Publishing in a Special Issue

  • Ease of navigation: Grouping papers by topic helps scholars navigate broad scope journals more efficiently.
  • Greater discoverability: Special Issues support the reach and impact of scientific research. Articles in Special Issues are more discoverable and cited more frequently.
  • Expansion of research network: Special Issues facilitate connections among authors, fostering scientific collaborations.
  • External promotion: Articles in Special Issues are often promoted through the journal's social media, increasing their visibility.
  • Reprint: MDPI Books provides the opportunity to republish successful Special Issues in book format, both online and in print.

Further information on MDPI's Special Issue policies can be found here.

Published Papers (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Review

37 pages, 2396 KiB  
Review
A Review of Hierarchical Control Strategies for Lower-Limb Exoskeletons in Children with Cerebral Palsy
by Ziwei Kang, Hui Li, Yang Wang and Hongliu Yu
Machines 2025, 13(6), 442; https://doi.org/10.3390/machines13060442 - 22 May 2025
Abstract
In recent years, with the deepening research on exoskeletons for children with cerebral palsy, increasing evidence has highlighted their unique characteristics. Unlike adult exoskeletons, pediatric exoskeletons cannot be simply realized by scaling down adult designs; instead, special attention must be given to their [...] Read more.
In recent years, with the deepening research on exoskeletons for children with cerebral palsy, increasing evidence has highlighted their unique characteristics. Unlike adult exoskeletons, pediatric exoskeletons cannot be simply realized by scaling down adult designs; instead, special attention must be given to their unique training requirements. Although current studies have incorporated specific design adaptations and summarized the distinct features of these devices, a comprehensive review of control strategies remains lacking. This study adopts a structured narrative review approach, referencing the PRISMA framework to enhance transparency in the literature selection. Relevant publications were identified based on clearly defined inclusion and exclusion criteria, but no formal systematic review or meta-analysis was conducted. The exoskeleton control strategies from the 106 selected articles are classified using a hierarchical framework, dividing them into the supervision layer, action layer, and execution layer, with a further categorization into 12 specific control methods. Findings indicate that the supervision level primarily employs finite state machines and linear phase estimation, while the action level predominantly utilizes position trajectory control, torque trajectory control, and impedance control. At the execution level, closed-loop torque control and position control are commonly adopted. Overall, existing studies still face challenges in personalized adaptation, real-time control, and application scenarios. With advancements in controller hardware and the introduction of novel actuators, emerging technologies such as machine learning, virtual constraints, and sliding mode control may offer promising directions for future pediatric exoskeleton control design. Full article
(This article belongs to the Special Issue Advances in Medical and Rehabilitation Robots)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop