The ability to actively explore and respond to uncertain environments is critical in enabling robots to function autonomously. I am interested in the problem of control design for mobile robots carrying out active sensing tasks. Active sensing refers to control of sensor parameters, such as position, to acquire information or reduce uncertainty. Applications include prioritized decision making during search and rescue, inspection for flaws, mine detection, object recognition/classification, and next-best-view problems for vision systems. With the objective of developing broadly applicable methods for robotic search and estimation, my current research focuses on mathematical models for the way in which search or exploration intention (what a robot is looking for) can be connected to movement control. Check out my publications and the project pages below for more information.