Swarm Intelligence and Swarm Robotics: Latest Advances and Prospects
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Robotics and Automation".
Deadline for manuscript submissions: closed (20 December 2023) | Viewed by 3990
Special Issue Editors
Interests: bio-inspired algorithms; robotic swarms; unmanned autonomous systems; computer simulations
Interests: artificial intelligence; metaheuristics; automated algorithm design; unmanned autonomous systems
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
We are inviting submissions to our Special Issue entitled “Swarm Intelligence and Swarm Robotics: Latest Advances and Prospects”.
Distributed autonomous systems provide multiple economic advantages. A promising way to manage these distributed systems is through the utilization of swarm intelligence. However, designing fully distributed and autonomous systems remains a challenging open problem since the global system performance is difficult to predict. The problem becomes even more challenging since it is multi-objective in nature.
In this Special Issue, we invite submissions exploring cutting-edge research and recent advances in swarm intelligence and swarm robotics which include, but are not limited to, the following topics: surveillance systems, distributed systems, modelling and simulation, cooperative control, swarm intelligence, swarms of drones, multi-agent systems, self-organization, robot formation control, distributed machine learning, collective mapping, and UAV traffic management (UTM).
Both theoretical and experimental studies are welcome, as well as comprehensive reviews and survey papers. We look forward to receiving submissions of your high-quality research work.
Dr. Daniel H. Stolfi
Dr. Grégoire Danoy
Guest Editor
Manuscript Submission Information
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Keywords
- swarm intelligence
- swarms of robots
- bio-inspired algorithms
- artificial intelligence
- surveillance systems
- machine learning
- robot formation control
- traffic management (UTM)
- multi-swarm systems
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