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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.

Area Faculty

Maruthi Akella
Efstathios Bakolas
Todd Humphreys
Luis Sentis
Takashi Tanaka
Ufuk Topcu
Renato Zanetti

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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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Designing UAVs That Fly Like Birds—and See Like Them Too

Maruthi Akella's research group is working to create fast, agile, and autonomous unmanned aerial vehicles, or UAVs, by borrowing navigation skills from nature’s great flyers—birds.

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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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