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Robotic Source Identification

Source id is an Inverse Problem that has important applications ranging from environmental protection to human safety.

The goal here is to use autonomous robots to solve model-based source id problems in real-time. We use state of the art tools from control theory, optimization, and numerical computing to construct tractable models of the transport phenomenon and to enable the robots to collect optimal measurements from the environment and cooperatively identify the desired sources.

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News and Events

Conference

55th Conference on Decision and Control,
Las Vegas, NV, USA, December 12-14, 2016.

Exam

PhD Preliminary Examination,
Durham, NC, USA, December 7, 2016.

Presentation

American Control Conference,
Boston, MA, USA, July 6–8, 2016.

Presentation

Duke Robotics Student Symposium,
Durham, NC, USA, March 28-29, 2016.

Presentation

American Control Conference,
Chicago, IL, USA, July 1-3, 2015.

Exam

PhD Qualifying Examination,
Durham, NC, USA, April 15, 2015.