Recent Advances in Multi-Robot Systems: Models, Algorithms, and Applications

Dear Colleagues,

The past decade has seen a substantial growth in robotics research in the area of multi-robot systems. As compared to systems using individual robots, multi-robot systems can offer significant improvements in terms of the time and energy required to complete tasks. Multi-robot systems are also more reliable as they are more robust than individual robots. To date, several technologies have been developed for multi-robot systems focusing on coverage path planning, exploration and mapping, task allocation, and coalition and team formation. Multi-robot systems have also been deployed in several robotic applications including unmanned search and rescue, nuclear waste cleanup, and environmental monitoring. Despite their initial success, there are several challenges in developing and deploying multi-robot systems that need to be solved before they can be seamlessly adopted for a wider variety of automation tasks. This Special Issue plans to advance the state-of-the-art in multi-robot systems through research articles that provide a comprehensive overview of the challenges and recent advances in multi-robot systems from various computational and engineering aspects. Topics of interest include, but are not limited to, coordination models and algorithms for multi-robot systems, multi-robot path planning and task planning, multi-robot learning, networking and wireless communication techniques for multi-robot systems, multi-robot SLAM, heterogeneous multi-robot systems, swarming and modular robot systems, cloud robotics and real-world applications of multi-robot systems.

Dr. Prithviraj (Raj) Dasgupta
Guest Editor

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