Sensing, Intelligent Control and Collaborative Optimization for Swarms of Unmanned Systems
A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Intelligent Sensors".
Deadline for manuscript submissions: 30 September 2026
Special Issue Editor
Special Issue Information
Dear Colleagues,
Recently, there has been growing interest in the sensing, intelligent control, and collaborative optimization of unmanned systems swarms. These advanced control algorithms and collaborative strategies rely on the support of cutting-edge sensors, which provide multimodal, high-resolution, and low-latency data. In comparison to traditional manned platforms, unmanned swarms equipped with these sensors exhibit superior environmental adaptability, precise control capabilities, and enhanced real-time responsiveness. Ongoing advancements in AI-driven sensor fusion, adaptive sampling, and edge-based perception are driving autonomy and coordination to unprecedented levels. These capabilities endow swarms of unmanned systems with powerful tools for a range of applications, including search-and-rescue, environmental monitoring, logistics delivery, and more. This Special Issue aims to compile original research and review articles that explore the latest advancements, technologies, solutions, applications, and emerging challenges in sensing, intelligent control, and collaborative optimization for swarms of unmanned systems.
The theme of this Special Issue is sensing, intelligent control, and collaborative optimization for swarms of unmanned systems. Sensing, intelligent control, and collaborative optimization cannot be achieved without the support of multimodal sensors. Highly reliable, high-resolution, and low latency sensor data are the cornerstone of unmanned cluster collaboration and decision-making.
Dr. Tianle Mai
Guest Editor
Manuscript Submission Information
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Keywords
- swarms of unmanned systems
- sensing
- intelligent control
- collaborative optimization
- sensor fusion
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