Robotics and AI Inspection under High-Risk Environments
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Mechanical Engineering".
Deadline for manuscript submissions: closed (31 October 2023) | Viewed by 123
Special Issue Editors
Interests: robotics inspection; ai inspection; deep learning; computer vision
2. Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang 110169, China
Interests: robot navigation; slam localization; flexible operation
Special Issue Information
Dear Colleagues,
Robotics technology has been applied in many fields. In high-risk environments, it is of especially great significance to perform inspection tasks using robotics instead of people. With the rapid development of AI technology, such as deep learning, robotics inspection has become more intelligent. Therefore, this Special Issue is intended to present new ideas and experimental results in the field of robotics and AI inspection technology in high-risk environments.
Areas relevant to robotics and AI inspection include, but are not limited to, robotics environment perception, safety hazard/disaster detection, instrument identification and reading, hazardous chemical leakage detection and location, emergency handling, mapping and navigation. This Special Issue will publish high-quality, original research papers, in the following overlapping fields:
- Artificial intelligence, machine learning and deep learning;
- Intelligent analysis, reasoning, decision-making;
- Emergency handling;
- Computer vision;
- Video and image analysis;
- Environmental perception and information fusion;
- Mapping and navigation;
- Neural network;
- Big data processing algorithms and applications.
Prof. Dr. Baojun Shi
Dr. Ting Wang
Guest Editors
Manuscript Submission Information
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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. Applied Sciences 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 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
- robotics inspection
- AI inspection
- machine learning
- deep learning
- computer vision
- neural network
