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Recent Advances in Sensors Application for Soft Robotics

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 2464

Special Issue Editor


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Guest Editor
Faculty of Frontier Engineering, Institute of Science and Engineering, Kanazawa University, Kakuma-Machi, Kanazawa 920-1192, Japan
Interests: robotics
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Soft robots have several characteristics that distinguish them from rigid robots. Soft bodies can conform to the shape of their environment, allowing them to move in contact with their environment. Because of their flexibility, they can store energy and are capable of a variety of motion behaviors. Various deformations and motions due to various external forces can be regarded as the soft body's memory of the relationship between input (external force) and output (motion or deformation).

Sensor technology, signal processing technology, and recognition technology are important to control soft robots. Different from rigid robots, soft robots are deformable and require not only state estimation in the work area, but also state estimation of the robot itself. Soft robots can be regarded as having infinite dimensional degrees of freedom. Additionally, several external forces can be applied to the robot while moving in contact with the environment. Therefore, state estimation is very difficult. External sensors such as cameras cannot observe hidden areas due to deformation and contact with the environment. Large deformation of their body requires flexibility in embedded internal sensors. For this reason, a wide variety of sensors for soft robots have recently been developed. Accordingly, applications using new sensor technologies for soft robots are also attracting attention. With these recent progress in sensor technologies, this Special Issue focuses on the latest sensor technologies and their application for soft robots.

Authors are welcome to submit papers related to the following topics:

  • Soft robots;
  • New designs for sensing and recognition;
  • New mechanism for sensing and recognition;
  • Control;
  • Integration of multiple sensors;
  • Motion planning based on sensory data;
  • Application using sensors.

Dr. Tetsuyou Watanabe
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.

Keywords

  • soft robots
  • sensor technologies
  • robot control
  • motion planning

Published Papers (2 papers)

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Research

15 pages, 5494 KiB  
Article
Development and Analysis of an Origami-Based Elastomeric Actuator and Soft Gripper Control with Machine Learning and EMG Sensors
by Meixin Wang, Wonhyong Lee, Liqi Shu, Yong Sin Kim and Chung Hyuk Park
Sensors 2024, 24(6), 1751; https://doi.org/10.3390/s24061751 - 8 Mar 2024
Cited by 1 | Viewed by 971
Abstract
This study investigates the characteristics of a novel origami-based, elastomeric actuator and a soft gripper, which are controlled by hand gestures that are recognized through machine learning algorithms. The lightweight paper–elastomer structure employed in this research exhibits distinct actuation features in four key [...] Read more.
This study investigates the characteristics of a novel origami-based, elastomeric actuator and a soft gripper, which are controlled by hand gestures that are recognized through machine learning algorithms. The lightweight paper–elastomer structure employed in this research exhibits distinct actuation features in four key areas: (1) It requires approximately 20% less pressure for the same bending amplitude compared to pneumatic network actuators (Pneu-Net) of equivalent weight, and even less pressure compared to other actuators with non-linear bending behavior; (2) The control of the device is examined by validating the relationship between pressure and the bending angle, as well as the interaction force and pressure at a fixed bending angle; (3) A soft robotic gripper comprising three actuators is designed. Enveloping and pinch grasping experiments are conducted on various shapes, which demonstrate the gripper’s potential in handling a wide range of objects for numerous applications; and (4) A gesture recognition algorithm is developed to control the gripper using electromyogram (EMG) signals from the user’s muscles. Full article
(This article belongs to the Special Issue Recent Advances in Sensors Application for Soft Robotics)
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31 pages, 4860 KiB  
Article
Simultaneous Sensing and Actuating Capabilities of a Triple-Layer Biomimetic Muscle for Soft Robotics
by Francisco García-Córdova, Antonio Guerrero-González, Joaquín Zueco and Andrés Cabrera-Lozoya
Sensors 2023, 23(22), 9132; https://doi.org/10.3390/s23229132 - 12 Nov 2023
Cited by 1 | Viewed by 1176
Abstract
This work presents the fabrication and characterization of a triple-layered biomimetic muscle constituted by polypyrrole (PPy)-dodecylbenzenesulfonate (DBS)/adhesive tape/PPy-DBS demonstrating simultaneous sensing and actuation capabilities. The muscle was controlled by a neurobiologically inspired cortical neural network sending agonist and antagonist signals to the conducting [...] Read more.
This work presents the fabrication and characterization of a triple-layered biomimetic muscle constituted by polypyrrole (PPy)-dodecylbenzenesulfonate (DBS)/adhesive tape/PPy-DBS demonstrating simultaneous sensing and actuation capabilities. The muscle was controlled by a neurobiologically inspired cortical neural network sending agonist and antagonist signals to the conducting polymeric layers. Experiments consisted of controlled voluntary movements of the free end of the muscle at angles of ±20°, ±30°, and ±40° while monitoring the muscle’s potential response. Results show the muscle’s potential varies linearly with applied current amplitude during actuation, enabling current sensing. A linear dependence between muscle potential and temperature enabled temperature sensing. Electrolyte concentration changes also induced exponential variations in the muscle’s potential, allowing for concentration sensing. Additionally, the influence of the electric current density on the angular velocity, the electric charge density, and the desired angle was studied. Overall, the conducting polymer-based soft biomimetic muscle replicates properties of natural muscles, permitting simultaneous motion control, current, temperature, and concentration sensing. The integrated neural control system exhibits key features of biological motion regulation. This muscle actuator with its integrated sensing and control represents an advance for soft robotics, prosthetics, and biomedical devices requiring biomimetic multifunctionality. Full article
(This article belongs to the Special Issue Recent Advances in Sensors Application for Soft Robotics)
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