Recent Advances in Unmanned Aerial Vehicles
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".
Deadline for manuscript submissions: closed (20 December 2021) | Viewed by 16870
Special Issue Editors
Interests: UAV control and simulation; machine learning for UAV autonomous control; motion and mission planning; autonomy reliability and safety of UAVs; multi-robot systems; swarm robotics; relative UAV localization; object tracking; perception and multi-sensor fusion; optimization techniques for UAVs
Special Issues, Collections and Topics in MDPI journals
Interests: motion planning; swarm robotics; modular robotics; robotic simulators
Special Issues, Collections and Topics in MDPI journals
Interests: unmanned aircraft systems; vision-based applications; avionics; guidance and navigation; detect and avoid; target tracking; path planning; data fusion; swarms; distributed space systems; formation flying; in orbit proximity operations; space surveillance
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
As Guest Editor, I am inviting you to submit papers to a Special Issue of Applied Sciences on the subject of “Recent Advances in Unmanned Aerial Vehicles”.
In recent years, we have experienced a significant increase in research on unmanned aerial vehicles (UAVs). Such features as compact size, durability, low price, and high efficiency increase the practical uses of UAVs. Each day brings new application areas for UAVs, which become an even stronger accelerator for research and development. To increase the level of autonomy, reliability, and safety of UAVs operating in an environment close to humans, especially in the transport tasks of individual units and groups of UAVs, some open problems and challenges still need to be highlighted and solved.
This Special Issue of Applied Sciences aims to contribute to the development of unmanned aerial vehicles in all areas of applications. Particular attention will be given to high-quality papers that address significant advances on the development and application of modeling, control, optimization techniques, and machine learning for unmanned aerial vehicles.
Topics of interest include but are not limited to new application for UAVs; UAV control and simulation; machine learning for UAV autonomous control; motion and mission planning; autonomy, reliability, and safety of UAVs; multigoal path planning; multirobot systems; swarm robotics; multirobot data collection; relative UAV localization; guidance and navigation; object tracking; perception and multisensor fusion; vision and sensing; SLAM for UAVs; grasping and manipulation; design of unmanned aerial vehicles; and optimization techniques for UAVs and safety-critical systems.
Prof. Dr. Wojciech Giernacki
Dr. Martin Saska
Prof. Dr. Giancarmine Fasano
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
- new application for UAVs
- UAV control and simulation
- machine learning for UAV autonomous control
- motion and mission planning
- autonomy, reliability, and safety of UAVs
- multigoal path planning
- multirobot systems
- swarm robotics
- multirobot data collection
- relative UAV localization
- guidance and navigation
- object tracking
- perception and multisensor fusion
- vision and sensing
- SLAM for UAVs
- grasping and manipulation
- design of unmanned aerial vehicles
- optimization techniques for UAVs
- safety-critical systems
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