Advanced Perception and Safety Control in Intelligent Machines

A special issue of Machines (ISSN 2075-1702).

Deadline for manuscript submissions: 31 October 2024

Special Issue Editor


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Guest Editor
Department of Industrial and Systems Engineering, The Hong Kong Polytechnic University, Hong Kong, China
Interests: intelligent connected vehicles; vehicle system dynamic; active safety control
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Special Issue Information

Dear colleagues,

Implementing advanced perception and safety control in intelligent machines, such as autonomous vehicles and robots, is crucial. Intelligent machines often operate in diverse and unpredictable settings. Advanced perception systems equipped with machine learning capabilities enable adaptation to different environments, ensuring reliable performance across various scenarios. Intelligent machines can accurately sense and understand their surroundings, reducing the likelihood of collisions or accidents. Safety control measures are essential for ensuring that intelligent machines comply with industry standards and regulations. This is particularly critical in applications like autonomous driving, where adherence to safety guidelines is paramount. Safety control mechanisms ensure that the machine can respond promptly to unexpected situations, mitigating potential risks and hazards. Furthermore, in scenarios involving human-machine interaction, such as collaborative robots, advanced perception facilitates safe and efficient collaboration. Safety controls play a crucial role in preventing accidental harm to humans. In summary, the integration of advanced perception and safety control in intelligent machines is imperative for ensuring not only the safety of the machines themselves but also for fostering trust in their interactions with humans and their deployment in various environments. These technologies collectively contribute to the reliability, adaptability, and overall effectiveness of intelligent systems.

Dr. Yan Wang
Dr. Hui Zhang
Dr. Bin-Bin Hu
Dr. Fengjiao Zhang
Guest Editors

Dr. Yan Wang
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. Machines is an international peer-reviewed open access monthly 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.

Published Papers

This special issue is now open for submission.
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