Thomas Mohren, 2 Oct 2019

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Thomas Mohren, a PhD student working with Tom Daniel and Steve Brunton at U. Washington, will visit Caltech on 2-3 Oct 2019. If you would ilke to meet with Thomas, please sign up here:


2 Oct 2019 (Wed)

  • 10:00 Group meeting presentation, 181 BBB
  • 11:30 am: Richard
  • 12:00 pm: Lunch with Petter, Yuxiao (pick up at Richard's office)
  • 1:30 pm: Joel Burdick (room 245 Gates-Thomas)
  • 2:15 pm: Karena Cai (331 Annenberg)
  • 3:00 pm: CDS tea
  • 3:45 pm: SJ Chung (235 Guggenheim)
  • 4:30 pm: Francesca (230 Annenberg)

3 Oct 2019 (Thu)

  • 10:00 am: Open
  • 10:45 am: Open
  • 11:30 am: Kate (Dickinson lab) BBB 204
  • 12:15 pm: Lunch with Apurva
  • 1:30 pm: Kellan (Dickinson lab) BBB 204
  • 2:15 pm: Amir (Dickinson lab) BBB 204
  • 3:00 pm: Leave for airport

Group meeting talk

Neural-inspired sparse sensing for classification and control
Thomas Mohren, U. Washington

Sparse sensor placement is a central challenge in the efficient characterization of complex systems when the cost of acquiring and processing data is high. Leading sparse sensing methods typically exploit either spatial or temporal correlations, but rarely both. We use sparse sensor optimization in combination with neural-inspired sensory encoding to leverage the spatiotemporal coherence exhibited by many biological systems. Using flying insects as a model, we subject flapping plate with embedded strain gauges to inertial rotation. We show that nonlinear filtering in time is essential to detect rotation, whereas instantaneous measurements fail. My current project aims to understand how animals overcome temporal challenges such as sensory delays and time varying control effectiveness during locomotion. Using the inverted pendulum as a benchmark model, I study the effectiveness of timing-based controllers in dealing with these challenges.