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The full-day workshop will be organized in a classroom-like experience including lectures on physics-informed learning and control, step-by-step tutorials, and supervised audience work on a few simple assignments.
Schedule
09:10 - 10:00
Integrating Physics in Gaussian Process and Neural-Networks for Model Based Control
Integrating Physics in Gaussian Process and Neural-Networks for Model Based Control
Rolf Findeisen (TU Darmstadt)
10:00 - 10:30 Coffee Break
10:30 - 11:15
Physics-informed Learning and Control with Gaussian Processes and its Application to Robotics
Physics-informed Learning and Control with Gaussian Processes and its Application to Robotics
Sandra Hirche (Technical University of Munich)
11:15 - 12:00
Thomas Beckers (Vanderbilt University)
12:00 - 01:30 Lunch Break
01:30 - 02:00
Combining model-based and data-driven models: an application to synthetic biology resource competition
Combining model-based and data-driven models: an application to synthetic biology resource competition
Eduardo Sontag (Northeastern University)
03:45 - 04:15 Coffee Break
04:15 - 05:00
Julian Berberich (University of Stuttgart)
05:00 - 05:15
Closing remarks / discussion
Closing remarks / discussion
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