We develop efficient trajectory optimization approaches for autonomous vehicles and robot swarms.
We develop informative-theoretic trajectory planning approaches for mobile robots to actively search and track moving targets.
We propose a measurement dissemination-based distributed Bayesian filter for nonlinear estimation.
We are interested in enabling robots to collaborate with humans as peers.