Efficient UAS Trajectory and Path Planning
A special issue of Drones (ISSN 2504-446X).
Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 5681
Special Issue Editors
Interests: multi-machine collaborative perception and decision; autonomous control; environmental perception and cognition
Special Issues, Collections and Topics in MDPI journals
Interests: avionics systems design; multi-aircraft cooperative combat design and algorithm research; EMC design of aircraft
Interests: flight dynamics; nonlinear and adaptive flight control
Interests: unmanned systems; information fusion; distributed control; navigation
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Unmanned Aircraft Systems (UASs) have become an area of intense research within the robotics and control community. The research topics have covered a wide range of applications from civil to military domains, such as logistics, mine detection, building and environment monitoring, intruder detection and attacking, etc. An indispensable and fundamental capability that defines an “autonomous” UAS is Trajectory and Path planning (TPP) in adversarial environments. The objective of such capability is to complete the given mission, normally to arrive at a desired state within a time limit, while minimizing some costs of the UAVs. Time efficiency and safety are the key performance indices evaluating the TPP capability.
TPP design is related to navigation, body dynamics, environmental threats and flight mission, which result in the complexity of TPP modeling and derivation. In recent years, swarms or networks of UASs are emerging as a disruptive technology of highly reconfigurable intelligent autonomous systems. The complexity of TPP scales up by considering the interfering behaviors of partners in a swarm when a collaborative mission is executed. This Special Issue aims to collect papers (original research articles and review papers) that provide insights into the latest achievements of theory and practice related to the efficient TPP for UASs.
This Special Issue welcomes manuscripts that link the following themes:
- Target search and tracking in complex environments;
- Navigation and exploration in GPS-denied environments;
- Autonomous decision-making for game and cooperation;
- Cooperative path planning and re-planning for homogeneous/nonhomogeneous UAS swarms;
- Learning-based and bio-inspired TPP for complex tasks;
- Distributed optimization and parallel decision-making;
- Fault-tolerant and robust TPP in disturbed and uncertain environments;
- System design and tests for resource-constrained embedded applications;
- Event-driven control strategies for silent and camouflaged UASs
We look forward to receiving your original research articles and reviews.
Dr. Yifeng Niu
Dr. Shaoqing Zhang
Dr. Fubiao Zhang
Dr. Jinwen Hu
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. Drones 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 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
- UAV
- trajectory planning
- path planning
- decision-making
- flight safety
- swarm
- distributed control
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