Special Issue "Advances and Challenges in Wearable Robotics for Dynamic and Varied Tasks"

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

Deadline for manuscript submissions: closed (1 July 2023) | Viewed by 1486

Special Issue Editors

Scuola Superiore Sant’Anna, Pisa, Italy
Interests: wearable robotics; control; soft robotics
Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada
Interests: muscle; biomechanics; assistive and rehab robotics

Special Issue Information

Dear Colleagues,

Research on wearable robots is taking place in many application areas, including the assistance of movement, rehabilitation after injury or disease, injury prevention in demanding occupational tasks, and monitoring of movement for the early diagnosis of diseases. There are many promising results in each of these spaces, yet there are still challenges to making these devices ready for effective real-world use.

In this Special Issue, we aim to investigate the challenges and state-of-the-art solutions of wearable robotics that can operate successfully in everyday activities. We are particularly interested in robots that assist during dynamic and varied tasks. Perhaps you have a design that senses and adapts to the environmental demands, or perhaps you’ve demonstrated that a simple static control solution is best. The field of wearable robotics is broad, and we are looking for an opportunity to share the best solutions from across areas of the field, e.g.,

  • Type of device—exoskeleton, exosuit, prosthetic;
  • Location of assistance—upper limb, lower limb, lower back;
  • Actuation design—active, passive, SEA;
  • Mechanism of actuation—pneumatic, direct torque, shape-memory alloy;
  • Control—phase-based, time-based, passive;
  • Sensing—environment, human intent.

We seek submissions with an original perspective and approaches to the theme. Research on simulations, experiments, and engineering applications is welcome.

Dr. Tommaso Proietti
Dr. Richard Nuckols
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

  • control
  • sensing
  • real-world
  • adaptive
  • exosuit
  • exoskeleton
  • prosthetic
  • wearable

Published Papers (1 paper)

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Research

Article
Minimizing Misalignment and Frame Protrusion of Shoulder Exoskeleton via Optimization for Reducing Interaction Force and Minimizing Volume
Machines 2022, 10(12), 1223; https://doi.org/10.3390/machines10121223 - 15 Dec 2022
Cited by 1 | Viewed by 1100
Abstract
Although industrial shoulder exoskeletons have undergone rapid advancement, their acceptance by industrial workers is limited owing to the misalignment and interference between the exoskeletal frame and the wearer’s body and bulkiness of the frames. Several joint mechanisms have been developed to offset misalignments; [...] Read more.
Although industrial shoulder exoskeletons have undergone rapid advancement, their acceptance by industrial workers is limited owing to the misalignment and interference between the exoskeletal frame and the wearer’s body and bulkiness of the frames. Several joint mechanisms have been developed to offset misalignments; however, none of the existing systems can simultaneously alleviate the interference and bulkiness problems. Furthermore, the reduction in the misalignments in terms of forces generated at the human–robot interface has not been experimentally verified. Therefore, in this study, design optimization was performed to address the various factors that limit the use of the existing industrial shoulder exoskeletons. Upper body motions were captured and converted into a target trajectory for the exoskeleton to follow. The optimal prismatic–revolute–revolute joint configuration was derived and used to manufacture a skeletal mock-up, which was used to perform experiments. The misalignments of the optimized configuration in the considered motions were 67% lower than those for the conventional joint configuration. Furthermore, the interaction forces were negligible (1.35 N), with a maximum reduction of 61.8% compared to those of conventional configurations. Full article
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