I am mainly interested in Distributed and Hybrid Control for Robotic Formations, and how can those tools be applied to the Multi-Robot Task-Allocation problem (MRTA).
In particular, we are interested in studying how can we solve global problems in a network when the robots only have access to local pieces of information. By sharing information with its neighbors, each robot can learn more about the environment, and can adjust its behavior as the information it is gathering gets more complete. Now, when there is more than one task that has to be addressed by the network, the local information must suffice for each agent to take the best possible decision, so it would not compromise in the long-term either of the objectives of the system.