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[nl-uiuc] Upcoming talk at the AIIS seminar (this Thursday).


Chronological Thread 
  • From: "Alexandre Klementiev" <klementi AT uiuc.edu>
  • To: nl-uiuc AT cs.uiuc.edu, aivr AT cs.uiuc.edu, dais AT cs.uiuc.edu, cogcomp AT cs.uiuc.edu, vision AT cs.uiuc.edu, krr-group AT cs.uiuc.edu, group AT vision2.ai.uiuc.edu, aiis AT cs.uiuc.edu
  • Subject: [nl-uiuc] Upcoming talk at the AIIS seminar (this Thursday).
  • Date: Tue, 14 Oct 2008 16:27:33 -0500
  • List-archive: <http://lists.cs.uiuc.edu/pipermail/nl-uiuc>
  • List-id: Natural language research announcements <nl-uiuc.cs.uiuc.edu>

Dear faculty and students,

Russ Tedrake will give a talk at the AIIS seminar this Thursday (details below). If you would like to meet with Prof. Tedrake personally, please let Prof. LaValle (lavalle AT uiuc.edu) know.

Hope to see you there,
Alex.

Title: Optimizing Locomotion
Speaker:
Russ Tedrake, MIT

Date: October 16, 4:00pm
Location: Siebel 3405 


Abstract:

In this talk I'll describe our efforts in using computational tools from optimal control theory (including machine learning and motion planning algorithms) to design efficient and agile control systems for locomotion.  I'll start by describing the passive dynamics of walking, and demonstrate that approximate optimal control can be used to design nonlinear control solutions that allow minimally-actuated bipeds to walk efficiently and dynamically, even over rough terrain.  In many cases, the performance of the algorithms can be improved dramatically by exploiting knowledge about the dynamics of the plant.  Then I'll describe a new line of work applying these ideas to bird-scale aerial vehicles, and argue that model-free learning methods can design high-performance control solutions in even very complicated fluid dynamic regimes.  Our initial evidence includes a robotic bird which flies with flapping wings and an airplane that can land on a perch.

Bio:

Russ Tedrake is the X Consortium Assistant Professor of Electrical Engineering and Computer Science at MIT, and a member of the Computer Science and Artificial Intelligence Lab. He received his B.S.E. in Computer Engineering from the University of Michigan, Ann Arbor, in 1999, and his Ph.D. in Electrical Engineering and Computer Science from MIT in 2004, working with Sebastian Seung. After graduation, he joined the MIT Brain and Cognitive Sciences Department as a Postdoctoral Associate.  In 2008, he received an NSF CAREER award, the MIT Jerome Saltzer award for undergraduate teaching, and was named a Microsoft Research New Faculty Fellow.





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