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Intelligent Robotics Sensing Control System

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

Deadline for manuscript submissions: 31 December 2024 | Viewed by 1886

Special Issue Editors


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Guest Editor
School of Mechanical Engineering and Automation, Beihang University, Beijing 100083, China
Interests: robotics; artificial intelligence; machine vision

E-Mail Website
Guest Editor
School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China
Interests: robotics; aviation drilling robot; tetrahedral robot

Special Issue Information

Dear Colleagues,

Intelligent robotics has brought about significant changes in the scientific, technological, and social fields. Intelligent robot sensor control systems, as a key technology for intelligent robots, provide them with the ability to acquire and control information from the outside world, including vision, optics, temperature, torque, and collision safety. This topic promotes the development of smarter intelligent robots, and the development of sensor control system technology plays an important role. Therefore, this subject has received a great deal of attention from different scientific communities.

This Special Issue aims to present the latest research results in the fields of artificial intelligence, intelligent sensing, multi-sensor measurements, machine vision, control systems, and optical sensors. We hope to demonstrate the intelligence and high precision of sensor control systems for intelligent robots and to enhance academic exchanges on the application areas of sensor control systems in intelligent robots.

We will consider research articles on new developments in the theory, computation, modeling, experimentation, and methodology of intelligent robot control systems and their applications in engineering.

We encourage submissions on a broad range of issues, including, but not limited to, the following:

  • artificial intelligence;
  • intelligent sensing;
  • multi-sensor measurements;
  • machine vision;
  • control systems;
  • optical sensors.

Dr. Peijiang Yuan
Dr. Dongdong Chen
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. 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

  • sensors for mechatronic and robotic systems
  • robot human interaction
  • robotics integration in manufacturing
  • sensor control systems
  • sensors development in artificial intelligence
  • intelligent sensing
  • multi-sensor measurements

Published Papers (1 paper)

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Review

26 pages, 4994 KiB  
Review
Visual Sensing and Depth Perception for Welding Robots and Their Industrial Applications
by Ji Wang, Leijun Li and Peiquan Xu
Sensors 2023, 23(24), 9700; https://doi.org/10.3390/s23249700 - 08 Dec 2023
Cited by 1 | Viewed by 1724
Abstract
With the rapid development of vision sensing, artificial intelligence, and robotics technology, one of the challenges we face is installing more advanced vision sensors on welding robots to achieve intelligent welding manufacturing and obtain high-quality welding components. Depth perception is one of the [...] Read more.
With the rapid development of vision sensing, artificial intelligence, and robotics technology, one of the challenges we face is installing more advanced vision sensors on welding robots to achieve intelligent welding manufacturing and obtain high-quality welding components. Depth perception is one of the bottlenecks in the development of welding sensors. This review provides an assessment of active and passive sensing methods for depth perception and classifies and elaborates on the depth perception mechanisms based on monocular vision, binocular vision, and multi-view vision. It explores the principles and means of using deep learning for depth perception in robotic welding processes. Further, the application of welding robot visual perception in different industrial scenarios is summarized. Finally, the problems and countermeasures of welding robot visual perception technology are analyzed, and developments for the future are proposed. This review has analyzed a total of 2662 articles and cited 152 as references. The potential future research topics are suggested to include deep learning for object detection and recognition, transfer deep learning for welding robot adaptation, developing multi-modal sensor fusion, integrating models and hardware, and performing a comprehensive requirement analysis and system evaluation in collaboration with welding experts to design a multi-modal sensor fusion architecture. Full article
(This article belongs to the Special Issue Intelligent Robotics Sensing Control System)
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