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Advances and Applications in Aerial Unmanned Robots: Sensing, Planning, and Control

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

Deadline for manuscript submissions: 30 October 2024 | Viewed by 239

Special Issue Editors

1. College of Mechatronics and Control Engineering, Shenzhen University, Shenzhen 518060, China
2. Guangdong Artificial Intelligence and Digital Economy Laboratory (Shenzhen), Shenzhen 518107, China
3. Shenzhen City Joint Laboratory of Autonomous Unmanned Systems and Intelligent Manipulation, Shenzhen University, Shenzhen 518060, China
Interests: autonomous unmanned system positioning map; path planning and control
Dr. Yue Wei
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Guest Editor
Guangdong Artificial Intelligence and Digital Economy Laboratory (Shenzhen), Shenzhen 518107, China
Interests: collaborative control and optimization of unmanned systems
Dr. Shiyu Chen
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Guest Editor
Guangdong Artificial Intelligence and Digital Economy Laboratory (Shenzhen), Shenzhen 518107, China
Interests: aircraft dynamics and control; underactuated system control theory
Dr. Yu Hu
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Guest Editor
Guangdong Artificial Intelligence and Digital Economy Laboratory (Shenzhen), Shenzhen 518107, China
Interests: serial data processing; multi-sensor integration technology; edge measurement AI intelligent computing platform; cloud distributed machine learning system
Dr. Yaohua Liu
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Guest Editor
Guangdong Artificial Intelligence and Digital Economy Laboratory (Shenzhen), Shenzhen 518107, China
Interests: mobile robot autonomous positioning; unmanned vehicles

Special Issue Information

Dear Colleagues,

As sensor and control technology rapidly advance, aerial unmanned robots have been more widely investigated due to their applications in the areas of surveillance, monitoring, infrastructure inspection, delivery, etc. Aerial unmanned robots include fixed-wing drones, multi-rotor drones, aerostat, etc., which can offer tailored solutions for diverse observation tasks. Research into aerial unmanned robots encompasses the territories of sensing, planning, and control. In complex environments, it may require multiple aerial unmanned robots to complete sensing tasks cooperatively, followed by real-time data fusion. Optimal planning results for aerial unmanned robots must also be obtained through optimization theories in order to address requirements such as energy efficiency and obstacle avoidance. Simultaneously, a dependable control strategy is indispensable for the motion of aerial unmanned robots in perturbed environments like complex wind fields.

You are invited to submit to this Special Issue of Sensors, entitled “Advances and Applications in Aerial Unmanned Robots: Sensing, Planning, and Control”. This publication is dedicated to present the innovative research on concepts, theoretical findings and practical solutions for aerial unmanned robots in the fields of sensing, planning, and control. Topics from this Special Issue include, but not limited to, the following areas:

  1. Kinematic and dynamic modelling for novel aerial robots;
  2. Multiple aerial unmanned robot cooperation;
  3. Distributed sensing technology and data fusion;
  4. Optimal path planning for aerial unmanned robots;
  5. Machine learning for detection, prediction, and control;
  6. Station-keeping control of stratosphere aerostat;
  7. Earth and ocean observation by aerial unmanned robots;
  8. Self-states monitoring of aerial vehicle.

Prof. Dr. Bo Zhang
Dr. Yue Wei
Dr. Shiyu Chen
Dr. Yu Hu
Dr. Yaohua Liu
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

  • robots
  • UAV
  • path planning
  • observation
  • perception
  • sensors

Published Papers (1 paper)

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Research

20 pages, 4067 KiB  
Article
Research on Lateral Safety Spacing for Fusion Operation Based on Unmanned and Manned Aircraft-Event Modeling
Sensors 2024, 24(2), 553; https://doi.org/10.3390/s24020553 (registering DOI) - 16 Jan 2024
Abstract
With the rapid development of unmanned aerial vehicle technology and its increasing application across various fields, current airspace resources are insufficient for unmanned aerial vehicles’ needs. This paper, taking Zigong General Aviation Airport in Sichuan as a case study, explores the lateral safety [...] Read more.
With the rapid development of unmanned aerial vehicle technology and its increasing application across various fields, current airspace resources are insufficient for unmanned aerial vehicles’ needs. This paper, taking Zigong General Aviation Airport in Sichuan as a case study, explores the lateral safety spacing in a mixed operation mode of unmanned aerial vehicles and manned aircraft. Currently, there are no standardized regulations for the safe spacing of the fusion operation of unmanned and manned aircraft. Theoretical research is essential to provide a reference for actual operations. It introduces the UM-Event (unmanned and manned aircraft-event) collision risk model, an adaptation of the Event collision risk model, considering factors like communication, navigation, surveillance performance, human factors, collision avoidance equipment performance, and meteorology. Safety spacing was determined via simulation experiments and actual data analysis, adhering to the target safety level (TSL). Findings indicate that surveillance performance has a minor impact on safety spacing, while communication and navigation significantly influence it. The safety spacing, influenced solely by CNS (communication performance, navigation performance, surveillance performance) and combined factors, increased from 4.42 to 4.47 nautical miles. These results offer theoretical guidance for unmanned aerial vehicle safety in non-segregated airspace. Full article
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