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GRASP Seminar: Jerome Le Ny, University of Pennsylvania, “Performance Optimization for Unmanned Vehicle Systems”

February 20, 2009 @ 11:00 am

Abstract: Technological advances in the area of unmanned vehicles are opening new possibilities for creating teams of vehicles performing complex missions. However, deploying large mobile sensing networks will require that these vehicles process their collected data and re-plan their missions with as little intervention from human operators as possible.

This talk will describe some approaches to optimizing the performance and trajectories of mobile sensors assuming a dynamic model of the environment. We emphasize the importance of performance bounds, which can drive the search for good heuristics. Scenarios considered include detection, estimation, and data-harvesting missions. Some tools that have proved useful to mitigate the complexity of the computations include relaxations for weakly coupled Markov Decision Processes (bandit problems), and model reduction building on the fluid models used for the control of queuing networks.


Jerome Le Ny is a postdoctoral researcher in the GRASP Laboratory at Penn, working under the supervision of George Pappas. He received his PhD in Aeronautics and Astronautics in September 2008 from MIT, where Jerome’s advisors were Eric Feron, Munther Dahleh and Emilio Frazzoli. There he was affiliated with the Laboratory for Information and Decision Systems. Jerome received his BS from the Ecole Polytechnique in France in 2001, and he received his MS in Electrical Engineering from the University of Michigan in 2003, where his research was concerned with the development of MEMS for RF communications. Jerome also worked for one year as a software development engineer at Bosch in Paris, in the automotive engine control department. Currently Jerome’s research interests include the control of dynamical complex systems, in particular autonomous robotic networks, transportation networks, and distributed embedded systems.


February 20, 2009
11:00 am
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