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Motor Control and Remote Handling in Robotic Applications
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Motor Control and Remote Handling in Robotic Applications

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

Deadline for manuscript submissions: 31 August 2026 | Viewed by 1199

Special Issue Editors

Dr. Eloise Matheson

E-Mail Website
Guest Editor
CERN, Espl. des Particules 1, 1217 Genève, Switzerland
Interests: telerobotics; human–robot interfaces; software frameworks; motor control
Dr. Mario Di Castro

E-Mail Website
Guest Editor
European Organization for Nuclear Research, CERN, Espl. des Particules 1, 1211 Meyrin, Switzerland
Interests: mechatronics systems; robotic platforms; telerobotics; motor control

Special Issue Information

Dear Colleagues,

Remote handling is a key application of telerobotics and autonomous robotic systems, particularly in hazardous environments. Motor controls, sensor packages and user and communication interfaces must fit both the environment and task needs. This Special Issue will focus on the intersection of robotics hardware, software and interfaces for remote handling, covering topics such as the following:

  • Hardware platform and end-effector design for remote handling;
  • Sensor development and platform integration for remote handling;
  • Control algorithms for autonomous or teleoperated robotic systems;
  • Software frameworks for effective remote robot controls;
  • Communication and network analysis and performance;
  • Human robot interfaces for remote handling.

Dr. Eloise Matheson
Dr. Mario Di Castro
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 250 words) can be sent to the Editorial Office for assessment.

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

  • robot platform design
  • end effector design
  • motor control
  • remote handling
  • telerobotics
  • human–robot interfaces

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

Published Papers (2 papers)

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Research

17 pages, 2620 KB  
Article
Characterization of an Ultra-Thin Silicon Strain Gauge Exposed to Gamma Ray Irradiation
by Fan Yang, Hao Liu, Masahito Takakuwa, Tomoyuki Yokota, Takao Someya, Jarred W. Fastier-Wooller, Shun Muramatsu, Michitaka Yamamoto, Kenta Murakami, Toshihiro Itoh and Seiichi Takamatsu
Sensors 2026, 26(8), 2514; https://doi.org/10.3390/s26082514 - 19 Apr 2026
Viewed by 395
Abstract
Microelectromechanical systems are being increasingly deployed in nuclear industry robotics, where their great sensitivity and mechanically stable silicon structures enable reliable sensing in radiation-exposed environments. An ultra-thin silicon strain gauge without an oxide substrate layer designed for robotic electronic skin is evaluated under [...] Read more.
Microelectromechanical systems are being increasingly deployed in nuclear industry robotics, where their great sensitivity and mechanically stable silicon structures enable reliable sensing in radiation-exposed environments. An ultra-thin silicon strain gauge without an oxide substrate layer designed for robotic electronic skin is evaluated under Co-60 γ irradiation, representative of nuclear decommissioning conditions. The sensor performance is evaluated based on electrical measurements conducted before and after irradiation, focusing on cumulative radiation-induced effects. The results show that silicon strain gauge signal maintains a high linearity (R2 > 0.99) under strain. Across an accumulated dose range up to approximately 15 Gy, only minor variations are observed, including a resistance increase within 1.3% and a reduction in gauge factor within 5% for most specimens. The radiation-induced resistance increases and sensitivity degradation results in a maximum strain estimation error of approximately 22.5 με (≈3.5%) within the tested operating range below 700 με. Full article
(This article belongs to the Special Issue Motor Control and Remote Handling in Robotic Applications)
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32 pages, 9172 KB  
Article
Design, Modeling, Self-Calibration and Grasping Method for Modular Cable-Driven Parallel Robots
by Wanlin Mai, Yonghe Wang, Zhiquan Yang, Bin Zhu, Lin Liu and Jianqing Peng
Sensors 2026, 26(7), 2204; https://doi.org/10.3390/s26072204 - 2 Apr 2026
Viewed by 423
Abstract
Cable-driven parallel robots (CDPRs) are attractive for large-space manipulation because of their lightweight structure, large workspace, and reconfigurability. However, existing systems still face three practical challenges: limited modularity of the mechanical architecture, repeated calibration after reconfiguration, and insufficient integration between visual perception and [...] Read more.
Cable-driven parallel robots (CDPRs) are attractive for large-space manipulation because of their lightweight structure, large workspace, and reconfigurability. However, existing systems still face three practical challenges: limited modularity of the mechanical architecture, repeated calibration after reconfiguration, and insufficient integration between visual perception and grasp execution. To address these issues, this paper presents a modular cable-driven parallel robot (MCDPR), together with its kinematic modeling, vision-based self-calibration, and visual grasping methods. First, a modular mechanical architecture is developed in which the drive, sensing, and cable-guiding functions are integrated to support rapid assembly/disassembly, convenient debugging, and cable anti-slack operation. Second, a pulley-considered multilayer kinematic model is established, and a vision-based self-calibration method is proposed to identify the structural parameters after assembly using onboard sensing and AprilTag observations, thereby reducing the number of recalibrations required during robot operation after reconfiguration. Third, a vision-guided bin-picking method is developed by combining RGB-D perception, coordinate transformation, and the calibrated robot model. Simulation and prototype experiments are conducted to validate the proposed system. A software/hardware combined validation framework is established, in which the CoppeliaSim-based simulation and the hardware prototype are used together to verify the proposed design and methods. In simulation, self-calibration reduces the Euclidean grasping position error from 0.371 mm to 0.048 mm and the orientation error from 0.071° to 0.004°. In experiments, the relative position error is reduced by 58.33% after self-calibration. Full article
(This article belongs to the Special Issue Motor Control and Remote Handling in Robotic Applications)
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