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Tactile Sensors for Robotics Applications
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Tactile Sensors for Robotics Applications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".

Deadline for manuscript submissions: closed (10 February 2024) | Viewed by 1254

Special Issue Editor

Dr. Chang Liu

E-Mail Website
Guest Editor
1. Formfactor Technologies, Livermore, CA, USA
2. Seven Parallel Consulting, Chicago, IL, USA
Interests: integrated sensor fusion; biomimetic sensing

Special Issue Information

Dear Colleagues,

Tactile sensors for robotics applications represent an exciting and challenging frontier for the future of robotics, cybernetics and machine–human interactions. Tactile sensors represent cross-disciplinary technical challenges in terms of manufacturing, materials, mechanics and electronics.

We invite submissions of manuscripts in the following areas:

  • Novel sensor design and development
  • Sensing and applications in robotics
  • Novel sensing materials
  • Robotics applications and studies
  • Wearable sensors
  • Flexible and robust sensors
  • Simulation and modeling
  • Smart skin and signal processing
  • Industrial applications of touch sensors
  • Haptics, cybernetics and the human–machine interface in general

Dr. Chang Liu
Guest Editor

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. Sensors is an international peer-reviewed open access semimonthly 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 2600 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.

Published Papers (1 paper)

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Research

32 pages, 21234 KiB  
Article
Anthropomorphic Tendon-Based Hands Controlled by Agonist–Antagonist Corticospinal Neural Network
by Francisco García-Córdova, Antonio Guerrero-González and Fernando Hidalgo-Castelo
Sensors 2024, 24(9), 2924; https://doi.org/10.3390/s24092924 - 3 May 2024
Viewed by 528
Abstract
This article presents a study on the neurobiological control of voluntary movements for anthropomorphic robotic systems. A corticospinal neural network model has been developed to control joint trajectories in multi-fingered robotic hands. The proposed neural network simulates cortical and spinal areas, as well [...] Read more.
This article presents a study on the neurobiological control of voluntary movements for anthropomorphic robotic systems. A corticospinal neural network model has been developed to control joint trajectories in multi-fingered robotic hands. The proposed neural network simulates cortical and spinal areas, as well as the connectivity between them, during the execution of voluntary movements similar to those performed by humans or monkeys. Furthermore, this neural connection allows for the interpretation of functional roles in the motor areas of the brain. The proposed neural control system is tested on the fingers of a robotic hand, which is driven by agonist–antagonist tendons and actuators designed to accurately emulate complex muscular functionality. The experimental results show that the corticospinal controller produces key properties of biological movement control, such as bell-shaped asymmetric velocity profiles and the ability to compensate for disturbances. Movements are dynamically compensated for through sensory feedback. Based on the experimental results, it is concluded that the proposed biologically inspired adaptive neural control system is robust, reliable, and adaptable to robotic platforms with diverse biomechanics and degrees of freedom. The corticospinal network successfully integrates biological concepts with engineering control theory for the generation of functional movement. This research significantly contributes to improving our understanding of neuromotor control in both animals and humans, thus paving the way towards a new frontier in the field of neurobiological control of anthropomorphic robotic systems. Full article
(This article belongs to the Special Issue Tactile Sensors for Robotics Applications)
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