Multi-UAV Systems and Mobile Robots
A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Systems & Control Engineering".
Deadline for manuscript submissions: 15 March 2025 | Viewed by 3616
Special Issue Editors
Interests: control of marine robotics
Special Issues, Collections and Topics in MDPI journals
Interests: computer/robot vision; pattern analysis; robot cognition and developmental learning
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
With the continuous progress of technology, mobile robot systems, including unmanned aerial vehicles, multi-robot systems, and ocean robot systems, have developed rapidly, and their application fields are also constantly expanding. Nowadays, it is difficult for single-configuration robots to complete efficient tasks in complex multimedia environments. The combination of unmanned aerial vehicle cluster systems and heterogeneous mobile robots such as ocean and land robots has become an important breakthrough in solving the above problems. The combination of multiple unmanned aerial vehicle systems and ocean and land mobile robots has a strong and scalable collaborative ability and a multi-medium and multi-task space, which is increasingly receiving widespread attention from researchers.
The implementation of the core functions of the aforementioned intelligent system involves key technologies such as high-performance electronic design, intelligent control, and multi-sensor and multi-information fusion of robot systems, which is closely related to the scope of this journal's submission. In order to showcase the latest achievements of researchers in this field and strengthen academic exchanges in this field, this Special Issue has been organized.
In this Special Issue, original research articles and reviews are welcome.
The topics of interest include, but are not limited to the following:
- Advanced modeling and identification of complex robotic systems;
- Ocean/land/air robot system control based on trajectory planning/optimization;
- Mobile robot system control based on intelligent learning;
- Human-robot collaborative control of heterogeneous robot cluster system;
- Collaborative control of multiple unmanned aerial systems;
- Sensor-based land/air/ocean robotic gripping or manipulation control;
- Cross-domain robot cluster system collaborative control.
Dr. Daxiong Ji
Dr. Xu Yang
Dr. Chenglong Du
Guest Editors
Manuscript Submission Information
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Keywords
- modeling and identification
- control based on trajectory planning/optimization
- heterogeneous robot cluster system
- multiple unmanned aerial systems
- cross-domain robot cluster system collaborative control
- control based on intelligent learning
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