ICON Lab

Welcome to ICON Lab!

Recently, multi-robot systems are gaining a lot of interest due to their wide applicability such as search and rescue, surveillance and reconnaissance, smart farming, infrastructure inspection, environment monitoring, and planetary exploration, to list a few. In general, deploying a multi-robot system is more beneficial than a single robot as a team of robots is more time-efficient in completing a given mission while being less prone to a single point of failure. We have worked on the density-aware multi-robot exploration scheme for time- and resource-efficient search, surveillance, and monitoring by considering information density that represents the relative importance or priority of areas of interest. Utilizing the given information density distribution, the proposed scheme will allow a team of heterogeneous robots to explore areas of interest intelligently and adaptively. At the same time, we employ tools including the probability theory, the metric theory, the optimal transport theory, and the switched system framework, to analyze multi-agent communication problems such as random communication delays or packet drops.

Particularly, the research focus of our lab is placed on distributed networked control systems, multi-agent systems, robotics, uncertainty quantification of dynamical systems, distributed optimization, and asynchronous algorithms. For more details about the research in ICON lab, please refer to Research on the top menu.