Intelligent and Dynamic Control of Mobile, Aerial, and Underwater Robots
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".
Deadline for manuscript submissions: 15 August 2024 | Viewed by 98
Special Issue Editors
Interests: mobile robots; Kalman filters; aircraft control; autonomous underwater vehicles
Interests: reconfigurable modular robots; decentralized control; distributed planning; excessive disturbance attenuation; transfer reinforcement learning
Special Issues, Collections and Topics in MDPI journals
Interests: robotics and artificial intelligence; deep reinforcement learning; convolutional neural networks; variational autoencoders
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
The field of robotics is undergoing a transformative phase, with mobile, aerial, and underwater robots playing a pivotal role in various applications, from industrial automation to healthcare and beyond. In recent years, mobile, aerial, and underwater robots have become integral to diverse sectors, demanding sophisticated control mechanisms to navigate complex and dynamic terrains. The dynamic nature of real-world environments poses challenges that necessitate intelligent control strategies for mobile, aerial, and underwater robots. The fusion of intelligent algorithms and dynamic control strategies holds the key to enhancing the efficiency, adaptability, and safety of mobile, aerial, and underwater robots in a wide range of applications.
This Special Issue aims to explore and showcase the latest advancements in the intelligent and dynamic control of mobile, aerial, and underwater robots, addressing the pressing need for adaptive and responsive robotic systems. This Special Issue invites contributions that delve into the intelligent and dynamic control of mobile, aerial, and underwater robots.
In this Special Issue, original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:
- Real-time decision-making strategies for mobile, aerial, and underwater robots;
- Adaptive control approaches for mobile, aerial, and underwater robots;
- Machine learning approaches for robot planning and control;
- Navigation and path planning in dynamic and unstructured environments;
- Multi-robot coordination and collaboration;
- Human–robot interaction for enhanced control;
- Applications of mobile, aerial, and underwater robots.
We look forward to receiving your contributions.
Dr. Hao Xiong
Dr. Wenjie Lu
Dr. Lin Zhang
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. Electronics 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
- mobile robots
- aerial robots
- autonomous underwater vehicles
- cooperative robots
- intelligent control
- intelligent navigation and planning
- learning-based planning and control
