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Applied Sciences
Special Issues
Intelligent Robotics: Design and Applications
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Intelligent Robotics: Design and Applications

A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".

Deadline for manuscript submissions: closed (30 April 2024) | Viewed by 784

Special Issue Editors

Prof. Dr. Yen-Ting Lin

E-Mail Website
Guest Editor
Department of Computer Science and Artificial Intelligence, National Pingtung University, Pingtung, Taiwan
Interests: intelligent and expert systems; educational technology; artificial intelligence; machine learning
Special Issues, Collections and Topics in MDPI journals
Dr. Yi-Chun Lin

E-Mail Website
Guest Editor
Department of Information Management, R. O. C. Military Academy, Kaohsiung City 830, Taiwan
Interests: artificial intelligent; data engineering; information education; digital marketing
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the advancement of information technology, especially the rapid development of artificial intelligence technology in recent years, the era of intelligent robots is booming. The demand for intelligent robots in various fields is increasing, such as education, healthcare, finance, catering, tourism, manufacturing, and transportation. This also allows intelligent robots to be designed and developed in a variety of forms, including virtual and physical intelligent robots. For example, Khan Academy uses ChatGPT to develop a virtual AI Tutor, and hotels use physical intelligent robots to provide check-in and baggage delivery services for guests. In addition, intelligent robots have also had a huge impact on the promotion of SDGs.

In order to promote the development of intelligent robot design and application, this special issue invites scholars and researchers in related fields to jointly present research results on the topic of "Intelligent Robotics: Design and Applications". This special issue welcomes but is not limited to the following topics for paper submission:

  • Design and application of virtual/physical intelligent robots in professional fields
  • Design and application of virtual/physical intelligent robots in life fields
  • Human-robot interaction
  • Machine learning and artificial intelligence for robotics
  • Collaborative robots/cobots
  • Intelligent robots for SDGs
  • Self-training and learning of intelligent robots
  • Generative AI for rototics
  • Collective and social robots

Prof. Dr. Yen-Ting Lin
Dr. Yi-Chun Lin
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. 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

  • intelligent robots
  • virtual/physical robots
  • human-robot interaction
  • artificial intelligence
  • machine learning

Published Papers (1 paper)

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Research

20 pages, 2604 KiB  
Article
Digital-Twin-Based System for Foam Cleaning Robots in Spent Fuel Pools
by Manhua Li, Fubin Chen and Wuyun Zhou
Appl. Sci. 2024, 14(5), 2020; https://doi.org/10.3390/app14052020 - 29 Feb 2024
Viewed by 540
Abstract
This paper introduces a digital-twin-based system for foam cleaning robots in spent fuel pools, aiming to efficiently clean foam in spent fuel pools. The system adopts a four-layer architecture, including the physical entity layer, twin data layer, twin model layer, and application service [...] Read more.
This paper introduces a digital-twin-based system for foam cleaning robots in spent fuel pools, aiming to efficiently clean foam in spent fuel pools. The system adopts a four-layer architecture, including the physical entity layer, twin data layer, twin model layer, and application service layer. Initially, the robot was modeled in two dimensions, encompassing physical and kinematic aspects. Subsequently, data collection and fusion were carried out using laser radar and depth cameras, establishing a virtual model of the working scenario and mapping the physical entity to the digital twin model. Building upon this foundation, improvements were made in applying the full-coverage path planning algorithm by integrating a pure tracking algorithm, thereby enhancing the cleaning efficiency. Obstacle detection and localization were conducted using infrared and depth cameras positioned above the four corners of the spent fuel pool, with the digital twin platform transmitting coordinates to the robot for obstacle avoidance operations. Finally, comparative experiments were conducted on the robot’s full-coverage algorithm, along with simulation experiments on the robot’s position and motion direction. The experimental results indicated that this approach reduced the robot’s overall cleaning time and energy consumption. Furthermore, it enabled motion data detection for the digital twin robot, reducing the risk of collisions during the cleaning process and providing insights and directions for the intelligent development of foam cleaning robots. Full article
(This article belongs to the Special Issue Intelligent Robotics: Design and Applications)
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