Shashank Swaminathan

Swaminathan's primary research interest is studying how autonomous robot teams can support humans in intuitive and reliable ways for various exploration and sensing tasks. He is particularly interested in the applications of "human-robot teaming" for "scientific exploration" (both underwater and in space), and for disaster response and "search-and-rescue." Current focus is an extension of his master’s thesis work on robustly distributing all aspects of environment exploration and learning under unreliable communication networks.

Specifically, work focuses on:
(*) Risk-controlled, communication-robust distributed planning under uncertainty
(*) Distributed probabilistic environment modeling
(*) Inferring collaborator intentions through behavior models