Events

Mapping and navigation have gone hand-in-hand since long before robots existed. For almost as long, maps have also been a key form of communication, allowing someone who has never been to an area to nonetheless navigate that area successfully. In the context of multi-robot systems, the maps and information that flow between robots are what […]

This thesis is dedicated to addressing the challenges of robust collaborative learning and optimization in both discrete and continuous domains. With the ever-increasing scale of data and the growing demand for effective distributed learning, a multitude of obstacles emerge, including communication limitations, resilience to failures and corrupted data, limited information access, and collaboration in multi-task […]