controls research image - drone

This area involves research in system theory, controls, networks, autonomy, and robotics with applications to the navigation, guidance, control, and flight mechanics of space, air, sea, and land based vehicles. Major research topics include onboard-optimal path-planning, differential games, hybrid-systems analysis, learning-based control, multi-vehicle coordination, swarm systems, vision and radio-based navigation, controlled-mobility wireless networks, robust communications, trust, and the study of human-robot interaction problems. Several of these projects are sponsored by: the Defense Advanced Research Projects Agency, the Air Force Office of Scientific Research, the National Science Foundation, the Office of Naval Research, the Missile Defense Agency, National Aeronautics and Space Administration, and the Jet Propulsion Laboratories.

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Improving Autonomous Systems with Mathematics

Ufuk Topcu, who won an NSF CAREER award, is using mathematics to improve autonomous system design to reduce errors during interactions between humans and autonomous systems.

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Keeping UAVs Safe Using Game Theory

Efstathios Bakolas has received funding from the National Science Foundation to develop path-planning and decision-making algorithms that will help autonomous vehicles maneuver around other moving objects.

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Robotics Graduate Portfolio Program

Students in the Robotics Portfolio Program at UT Austin will receive multidisciplinary training in robotics by completing core coursework offered by the Department of Computer Science and the Department of Mechanical Engineering, and selecting from among additional approved courses from these departments and/or Aerospace Engineering, and the School of Information.

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