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Special Issue "Artificial Intelligence—Robotics for Prognostics and Health Management (PHM)"

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

Deadline for manuscript submissions: 30 August 2023 | Viewed by 310

Special Issue Editors

School of Mechanical Engineering, Hanyang University, Seoul 04763, Korea
Interests: artificial intelligence; prognostics and health management; AI-PHM; diagnostics; fault detection; degradation; reliability
Special Issues, Collections and Topics in MDPI journals
School of Mechanical Engineering, Chung-Ang University, Seoul 06974, Korea
Interests: human-machine interface; estimation of gait phase; analysis of bio-signal with machine learning; autonomous control of UAV; indoor positioning with vision; prediction of remaining useful life for structures with deep learning; dynamics of floating structures; domain-adaptation; data synthesis
Department of Mechanical Engineering, Hanyang University, Seoul 04763, Republic of Korea
Interests: service robot design and control
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Robots have become widespread in various fields of manufacturing, medical treatment, service, agriculture, patrol inspection, and even entertainment applications. This progress is synergistically stimulated by the cross-cutting, transformational effects of artificial intelligence (AI) together with the 4th industrial evolution. In particular, artificial intelligence (AI) shows huge enhancement in image/pattern recognition, computer games, and natural language processing, which are useful for prognostics and health management. These surprising capabilities of intelligent robotics allow researchers to make advances in mobility toward PHM. Specifically, intelligent robots are effective for patrol and previse inspection of complex industrial systems at extreme operational conditions. Hence, AI robotics has garnered attention for proactive operation and maintenance together with novel sensors and the Internet of Things.

This Special Issue aims to collect a variety of studies on robotics (and robotics) enhanced by AI in the field of PHM. Novel approaches in robotic inspection systems, robot perception for fault diagnosis, path planning and tracking for patrol inspection, and self-learning with AI for autonomous inspection schemes are welcome, as well as the smart design of inspection robots using AI-generative models. Theoretical contributions, model development, and performance improvements through technology fusion in the aforementioned fields are invited.

Topics of interest include (but are not limited to):

  • Extreme robotics for PHM;
  • Deep learning in grasping and manipulation for inspection robotics;
  • Patrol and precise inspection with mobile robotics;
  • Object detection, segmentation, and categorization;
  • Path planning and tracking with reinforcement learning;
  • Physical human–robot interaction;
  • Generative design of inspection robots with AI;
  • AI based object detection for fault diagnostics and autonomous inspection;
  • Model-based control with deep neural network;
  • Autonomous flight/driving with self-learning;
  • Collision avoidance with novel sensors and AI.

We look forward to receiving your submissions in this Special Issue.

Dr. Ki-yong Oh
Dr. Woochul Nam
Dr. TaeWon Seo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at 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 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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