UAV Piloting, Training, Cooperation, and Interaction
A special issue of Drones (ISSN 2504-446X).
Deadline for manuscript submissions: 5 June 2025 | Viewed by 1392
Special Issue Editors
Interests: human learning; HCI; HRI; biometrics; human performance
Special Issue Information
Dear Colleagues,
The expansion of capabilities and applications of use of UAVs, Unmanned Aircraft Systems (UASs), and Remotely Piloted Aircraft Systems (RPASs) across numerous domains has led to new challenges and opportunities to guide and improve operations. One distinct challenge is in human-machine interaction and pilot training, wherein performance with respect to efficiency, safety, and capability, is essential. Specialized systems have gained multiple new sensor technologies, AI augmented sub-systems, and countless new system designs, for example. At the same time, these novel developments have been deployed or planned across many new domains, as well as challenging locations. In each case, the pilot(s) are forced to adapt to new requirements and purposes. While we as humans remain much as before, new training, and operational guidelines have the ability to revise the ways in which we can learn, train and behave in coordination with these technologies.
The aim of this Special Issue is to aggregate original research, or review papers that provide insights about how to improve human machine systems involving one or more of the above unmanned platforms. Manuscripts may be focussed on design, applications, or operations, broadly, but should centrally contribute to knowledge regarding human performance or human-machine system behaviour.
This Special Issue especially welcomes manuscripts that links, but is not limited to the following themes and related topics:
- Human-Robot Interaction and Performance
- UAV Pilot Training
- Human-Drone cooperation
- Review Articles UAV piloting behavior.
- Biometric studies of UAV piloting
- Other Human-machine studies of unmanned aerial systems
Proposed titles and abstracts (250 words) can be submitted to the guest editors, at dnembhard@g.hmc.edu for possible feedback, if prospective authors seek some early feedback prior preparing their manuscript.
We look forward to receiving your original research articles and reviews.
Prof. Dr. David Nembhard
Dr. Runwen Qin
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 piloting
- HRI
- UAV cooperation
- pilot training
- pilot biometrics
- human performance in complex systems
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