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RoboCom 2021: International Workshop on Communication and Networking for Swarms Robotics
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Call For Papers
Recent advances in the field of telecommunications and electronics have led to the proliferation of autonomous robots in numerous novel application fields, from emergency situations to military applications, from infrastructure inspection to ambient monitoring services, where the utilization of multiple robots is essential in order to accomplish the desired task. Recent works have demonstrated the challenges of coordinating multiple robots in order to deploy robot networks with self-configuration and self-healing capabilities to guarantee service continuity, also in case of failures.

Starting from the unique requirements of a multi robot system, Swarm Robotics is a complex approach that requires an understanding of how to define distributed systems to define self-organization behaviors. Swarm Robotics studies how to make robots collaborate and collectively solve a task where every robot contributes to the general task sharing the same higher-level objectives. To this end, communication wireless networks must be specifically designed in order to support the cooperation and collaboration inside the swarm.

This workshop invites original research articles and review articles that focus on communication networking problems in swarm robotics. Topics of interest include, but are not limited to: 

    Communication Models and Protocols for Swarm Robotics
    Delay-Tolerant Applications for Swarm Robotics
    Fog and Edge Computing in Swarm Robotics
    5G Integration with Swarm Robotics
    Integration of Unmanned Aerial, Ground, and Underwater Vehicles in Swarm Robotics
    Localization, Navigation, and Dynamic Path Planning in Swarm Robotics
    Cooperative Control of Multiple Robots
    Security and Privacy in Swarm Robotics
    The Internet of Things (IoT) in Swarm Robotics
    Swarm Intelligence and Nature-Inspired Algorithm in Swarm Robotics
    Artificial Intelligence Applications in Swarm Robotics
    Continual Learning and Adaptation for Swarm Robotics
Last updated by Dou Sun in 2020-08-29
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