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Sensing, Navigation, Control and Communication of Autonomous Robotic Systems

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Sensors and Robotics".

Deadline for manuscript submissions: closed (31 January 2024) | Viewed by 974

Special Issue Editors


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Guest Editor
Department of Robotics and Mechatronics, Faculty of Mechanical Engineering, Bialystok University of Technology, Wiejska St. 45C, 15-351 Bialystok, Poland
Interests: robotics; mobile robotics; robot cooperation; autonomous agents; machine learning; computer vision
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Departamento de Ingeniería Telemática y Electrónica (DTE), Escuela Técnica Superior de Ingeniería y Sistemas de Telecomunicación (ETSIST), Universidad Politécnica de Madrid (UPM), 28031 Madrid, Spain
Interests: cyber-physical systems; artificial intelligence; blockchain; Internet of Things; smart grid
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Faculty of Engineering, Mathematics and Computer Science (EWI), Delft University of Technology (TU Delft), Van Mourik Broekmanweg 6, 2628 XE, Delft, The Netherlands
Interests: cyber physical systems (CPS); space internet of things (space IoT); tactile internet

Special Issue Information

Dear Colleagues,

We invite submissions to a Special Issue of Sensors on “Sensing, Navigation, Control and Communication of Autonomous Robotic Systems”.

Intelligent robotics, artificial intelligence and the autonomy of a technical system are drivers of economic and strategic development for every modern country worldwide. These new and progressive technologies can provide solutions to many challenges, such as defending and monitoring borders, monitoring and mitigating the effects of disasters, transport in warehouses, care for the elderly in aging societies and minimizing the environmental impact of farming (e.g., crop management to practice effective water management and use less fertilizer). Artificial intelligence and robotics systems  allow machines, devices, and high-tech systems to analyze their environment and make autonomous decisions to achieve specific goals or a long-term strategy, replan these goals, react to specific events and reconfigure themselves. In all applications, all types of onboard communication, control, navigation, tracking and sensing systems determine the success of the mission (UAV, UGV, USV, AUV, ROV, etc.). The navigation, control and communication of autonomous vehicles, as well as sensing operations performed by unmanned mobile robots, necessitate  thorough and precise analyses, low-level control and navigation syntheses, simulations and the preparation of hardware experiments. Autonomous vehicles applied to any task must be carefully tested in a real environment (indoor or outdoor) and in number of extreme scenarios before they could be used for any task. Further, joint sensing and communication for control is also important . This Special Issue is focused on new developments in control, navigation, communication, tracking and sensing by Autonomous Unmanned Systems used for civil and military applications.

Dr. Leszek Ambroziak
Dr. Jesús Rodríguez Molina
Dr. R Venkatesha Prasad
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. 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 2600 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

  • sensors
  • autonomous systems
  • robotics
  • unmanned vehicles
  • navigation
  • path planning
  • collision avoidance
  • formation flying
  • swarming
  • remote sensing
  • intelligent flying sensors
  • control
  • communication

Published Papers (1 paper)

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Research

15 pages, 4463 KiB  
Article
An Improved A-Star Path Planning Algorithm Based on Mobile Robots in Medical Testing Laboratories
by Chengpeng Yin, Chunyu Tan, Chongqin Wang and Feng Shen
Sensors 2024, 24(6), 1784; https://doi.org/10.3390/s24061784 - 10 Mar 2024
Viewed by 555
Abstract
In the blood sample management pipeline environment, we have innovatively improved the traditional A-star algorithm to enhance the efficiency of mobile robots. This study employs a grid environmental modeling approach to accurately simulate medical testing laboratories. On the grid map, we utilize an [...] Read more.
In the blood sample management pipeline environment, we have innovatively improved the traditional A-star algorithm to enhance the efficiency of mobile robots. This study employs a grid environmental modeling approach to accurately simulate medical testing laboratories. On the grid map, we utilize an 8-neighbor search method for path planning to accommodate the complex structure within the laboratory. By introducing an improved evaluation function and a bidirectional search strategy, we have successfully reduced the number of search nodes and significantly improved path search efficiency. Additionally, we eliminate redundant nodes in the path, smooth the path using cubic uniform B-spline curves, remove unnecessary inflection points, and further optimize the motion trajectory of the robot. The experimental results of the path planning simulation under different scenarios and specifications show that the improved A-star algorithm has higher search efficiency and traverses fewer nodes compared to the traditional A-star algorithm and the bidirectional A-star algorithm. Overall, the simulation experiments verify the feasibility of the improved A-star algorithm, which can better meet the needs of actual mobile robots in real medical testing laboratories. Full article
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