Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
5.9
3.7
Journals
Robotics
Special Issues
Path Ahead for Robotics, Intelligent Automation and Control Technologies
share announcement

Path Ahead for Robotics, Intelligent Automation and Control Technologies

A special issue of Robotics (ISSN 2218-6581).

Deadline for manuscript submissions: closed (25 September 2022) | Viewed by 3439

Special Issue Editors

Prof. Dr. Michael Short

E-Mail Website
Guest Editor
School of Computing, Engineering, and Digital Technologies, Teesside University, Middlesbrough TS1 3BX, UK
Interests: control and protection; optimization; embedded systems; real-time systems; industry 4.0; industrial digitization and smart factories; smart grids; smart energy systems; advanced robotics/process control
Special Issues, Collections and Topics in MDPI journals
Dr. Arockia Selvakumar Arockia Doss

E-Mail Website
Guest Editor
Design and Automation Research Group, School of Mechanical Engineering, Vellore Institute of Technology, Chennai, India
Interests: robotics and automation; manipulator design; Internet of Things; CAD/CAM/CAE and failure analysis

Special Issue Information

Dear Colleagues,

This Special Issue aims to present cutting-edge developments in the areas of Robotics, Intelligent Automation, Mechatronics, Adaptive Control, Industry 4.0, Smart Energy and other associated disciplines. This issue will include revised and substantially extended versions of selected papers that are set to be presented at the 2nd Annual International Conference on Robotics, Intelligent Automation and Control Technologies (RIACT 2021), which takes place on 23rd, 24th and 25th of September 2021 and is jointly hosted by Teesside University (UK) and Vellore Institute of Technology (India). However, we are also strongly encouraging the submission of additional contributions from researchers working in this field who do not plan to participate in the RIACT 2021 Conference, in order to further enlarge the field coverage.

In this Special Issue, we solicit papers on any of the following topics related to:

• Robot Design, Development and Control;
• Mobile and Autonomous Robots;
• Rehabilitation Robots and Devices;
• Agricultural, Space and Underwater Robots; 
• Medical and Service Robots;
• Collaborative Robots; 
• Intelligent Automation Systems; 
• Intelligent Fault Detection and Diagnosis; 
• Robust/Adaptive Control of Robotics and Industrial Systems; 
• Motion Planning and Control/Advanced Machining and Finishing;
• AI in Robotics and Industrial IoT;
• Cognitive Automation;
• Image Processing and Vision Systems; 
• Actuators and Sensors; 
• Mechatronic Systems;
• HMI, SLAM, ROS, CAD/CAM/CAE; 
• Vehicle Control Applications; 
• Smart Energy Systems, Energy Informatics and Smart Buildings;
• Smart Manufacturing, Digital Engineering and Industry 4.0

Prof. Dr. Michael Short
Dr. Arockia Selvakumar Arockia Doss
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. Robotics 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 1800 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 (1 paper)

Order results
Result details
Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:

Research

20 pages, 6713 KiB  
Article
Design of UVC Surface Disinfection Robot with Coverage Path Planning Using Map-Based Approach At-The-Edge
by Sen Wang, Yongyao Li, Guanyu Ding, Chao Li, Qinglei Zhao, Bingbing Sun and Qi Song
Robotics 2022, 11(6), 117; https://doi.org/10.3390/robotics11060117 - 26 Oct 2022
Cited by 3 | Viewed by 2296
Abstract
In response to the issue of virus contamination in the cold-chain warehouse or hospital environment under the influence of the COVID-19, we propose the design work of a disinfection robot based on the UVC radiation mechanism using the low-computational path optimization at-the-edge. To [...] Read more.
In response to the issue of virus contamination in the cold-chain warehouse or hospital environment under the influence of the COVID-19, we propose the design work of a disinfection robot based on the UVC radiation mechanism using the low-computational path optimization at-the-edge. To build a surface disinfection robot with less computing power to generate a collision-free path with shorter total distance in studies, a 2D map is used as a graph-based approach to automatically generate a closed-loop disinfection path to cover all the accessible surfaces. The discrete disinfection points from the map are extracted with effective disinfection distances and sorted by a nearest-neighbor (NN) search over historical trajectory data and improved A * algorithm to obtain an efficient coverage path to all accessible boundaries of the entire area. The purpose of improved A * algorithm with NN is not to find the optimal path solution but to optimize one with reasonable computing power. The proposed algorithm enhances the path-finding efficiency by a dynamically weighted heuristic function and reduces the path turning angles, which improves the path smoothness significantly requiring less computing power. The Gazebo simulation is conducted, and the prototype disinfection robot has been built and tested in a real lab environment. Compared with the classic A * algorithm, the improved A * algorithm with NN has improved the path-finding efficiency and reduced the path length while covering the same area. Both the simulation and experimental results show that this approach can provide the design to balance the tradeoffs among the path-finding efficiency, smoothness, disinfection coverage, and computation resources. Full article
(This article belongs to the Special Issue Path Ahead for Robotics, Intelligent Automation and Control Technologies)
►▼ Show Figures

Figure 1

Show export options expand_more Show export options expand_less
Select all
Export citation of selected articles as:
 
Displaying articles 1-1
Back to TopTop