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Faculty Candidate - COLLOQUIUM
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Multi-Robot Search in the Physical World
Geoffrey A.
Hollinger Robotics Institute Carnegie Mellon
University, Computer
Science and Robotics Engineering Faculty
Candidate Abstract: This
talk considers the problem of coordinating a team of robots to locate a
target in an environment or to authoritatively say that one does not exist. Such a scenario
may occur in urban search and rescue, military operations, and even aged care. The search must be robust (deal with
robot failures), decentralized (reduce computational and communication
bottlenecks), and reactive (make use of any pertinent information that
becomes available during search). Prior methods in the literature would force
you to make one of two assumptions in this scenario. Do you make the
worst-case assumption and choose to treat the target as adversarial? The
robots could then utilize graph search algorithms to guarantee finding the
target, but the search might take an unnecessarily long time. Or do you
decide to trust some non-adversarial model of the target? The robots could
then optimize the search with respect to that model, but this approach would
eliminate guarantees if the model is inaccurate. In this case, the target may
avoid the robots entirely. However, it is possible to do better; how can we
strike a balance between risky average-case search and conservative
worst-case search? The subject of this
talk is the development of an architecture that combines the two search
paradigms described above to generate plans that clear an environment of a
worst-case adversarial target and have good average-case performance
considering a non-adversarial motion model. ______ Geoffrey Hollinger is a Ph.D. Candidate at
Carnegie Mellon University in the Robotics Institute. He is currently interested
in designing scalable and distributed algorithms for estimation and
multi-robot coordination in the physical world. He has worked on personal
robotics at Intel Research Pittsburgh, active estimation at the University of
Pennsylvania's GRASP Laboratory, and miniature inspection robots for the
Space Shuttle at NASA's Marshall Space Flight Center. He holds an M.S. in
Robotics from Carnegie Mellon University and a B.S. in General Engineering
along with a B.A. in Philosophy from Swarthmore College. Host: Prof. Michael Gennert Refreshments
will be served. Last modified: 02/25/2010 |
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