Motion Planning and Control of Wearable Device Driven by Advanced Actuator

A special issue of Actuators (ISSN 2076-0825).

Deadline for manuscript submissions: 30 August 2025 | Viewed by 701

Special Issue Editors


E-Mail Website
Guest Editor
School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu 611731, China
Interests: electromechanical control technology; exoskeleton robot
Special Issues, Collections and Topics in MDPI journals
Department of Electronic Engineering, Jinan University, Guangzhou 510632, China
Interests: robot control technology; modern control theory; ship maneuvering automation technology

E-Mail Website
Guest Editor
Control and Simulation Center, Harbin Institute of Technology, Harbin 150080, China
Interests: complex simulation evaluation; advanced distributed simulation; simulation experiment optimization design and intelligent analysis

Special Issue Information

Dear Colleagues,

The wearable device and flexible manipulator technology are mainly based on mechatronic, actuation, control, is a research field that deeply integrates bionics and engineering technology, and has wide applications in healthcare mechatronics, strength-enhancing devices, aid-older and aid-disable equipment. Hence, the technology development of ‘Motion Planning and Control of Wearable Device Driven by Advanced Actuator’ is an important field for the development of the Interdisciplinary fields.

To improve the system reliability, security, and performance, some focused problems should be addressed such as motion planning, posture identification, model uncertainty, disturbance, human–machine impedance, actuator driving, cooperative motion. Hence, many technologies are presented to solve these problems, but are not limited to motion panning, reliable actuation driving and transmission, model identification and estimation, human–machine cooperative control, and advanced applications.

This Special Issue focuses on the new development of the advanced actuator driving, reliable control and intelligent control techniques under wearable device, which can be promoted in exoskeleton robot and smart mobility system. This is a worldwide platform to share the latest achievements and valuable ideas. The potential topics include, but are not limited to, the following:

Prof. Dr. Qing Guo
Dr. Feiyan Min
Prof. Dr. Wei Li
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. Actuators 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

  • wearable device design
  • flexible manipulator design
  • motion trajectory planning
  • motion gait learning
  • human posture identification
  • wearable exoskeleton control
  • impedance control
  • admittance control
  • flexible actuator design
  • flexible joint drive

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.
  • e-Book format: Special Issues with more than 10 articles can be published as dedicated e-books, ensuring wide and rapid dissemination.

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

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

17 pages, 5038 KiB  
Article
Motion Gait Recognition of Lower Limb Exoskeleton Based on Particle Swarm Optimization-Based Extreme Learning Machine Algorithm
by Ting Liu, Kai Liu, Wuyi Luo, Jiange Kou, Haoran Zhan, Guangkai Yu, Qing Guo and Yan Shi
Actuators 2025, 14(3), 120; https://doi.org/10.3390/act14030120 - 2 Mar 2025
Viewed by 548
Abstract
A human gait recognition method based on the PSO-ELM algorithm is proposed in order to achieve coordinated movement between humans and lower limb exoskeletons. Ground reaction force (GRF) from the foot, and motion capture data (MCD) from two joints were collected through the [...] Read more.
A human gait recognition method based on the PSO-ELM algorithm is proposed in order to achieve coordinated movement between humans and lower limb exoskeletons. Ground reaction force (GRF) from the foot, and motion capture data (MCD) from two joints were collected through the exoskeleton device. The sample data were obtained through multiple experiments in different action scenarios, including standing still, walking on the flat, climbing up and down stairs, traveling up and down slopes, in addition to squatting down and standing up. The algorithm utilizes short-term posture data to recognize different posture movement patterns, with two advantages: (1) A user-friendly wearable device was constructed based on multi-source sensors distributed throughout the body, addressing multiple subjects with varying weights and heights, while being cost-effective and reliably and easily collecting data. (2) The PSO-ELM algorithm identifies key features of gait data, achieving a higher recognition accuracy than other advanced recognition methods, especially during arbitrary gait transition duration. Full article
Show Figures

Figure 1

Back to TopTop