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PRODID:-//University of Liverpool Computer Science Seminar System//v2//EN
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DTSTAMP:20260421T085241Z
UID:Seminar-dept-439@lxserverM.csc.liv.ac.uk
ORGANIZER:CN=Lutz Oettershagen:MAILTO:Lutz.Oettershagen@liverpool.ac.uk
DTSTART:20170427T130000
DTEND:20170427T140000
SUMMARY:School Seminar Series
DESCRIPTION:Dr. Chris Amato: Planning and Learning for Multi-Robot Coordination\n\nThe decreasing cost and increasing sophistication of robot hardware has created many new opportunities for teams of robots to be deployed to solve real-world problems. Although many algorithms have been proposed for multi-robot domains, the vast majority are specialized to match specific team or problem characteristics. Ideally, more general methods would exist for controlling multi-robot teams in a wide range of domains. In this talk, I will discuss such a general model for multi-robot coordination as well as planning and learning methods for automatically generating solutions. These methods provide principled solutions that optimize control and communication decisions while considering uncertainty in outcomes, sensors and the communication channel. To demonstrate the scalability and effectiveness of these methods, I will show results from a cooperative beer delivery problem with heterogenous ground robots and a package delivery problem with teams of aerial robots.\n\nhttps://www.csc.liv.ac.uk/research/seminars/abstract.php?id=439
LOCATION:E3 in Electrical Engineering and Electronics
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