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SUMMARY:IC Colloquium :  The Robotic Scientist: Finding invariants\, from 
 cognitive robotics to computational biology
DTSTART:20121008T161500
DTEND:20121008T173000
DTSTAMP:20260407T091029Z
UID:a25089a6c720134018fabe8159210dcec5a1056a31323943acc9d277
CATEGORIES:Conferences - Seminars
DESCRIPTION:Hod Lipson\, Cornell University (Robotics)\nAbstract\nCan mach
 ines discover dynamical invariants automatically? From cognitive robots th
 at create models of themselves\, to automated experimental systems that lo
 ok for the laws of nature\, the ability to identify invariant dynamics is 
 key. Despite the prevalence of computing power\, the process of finding in
 variant equations has resisted automation. A key challenge to finding anal
 ytic relations automatically is defining algorithmically what makes a corr
 elation in observed data important and insightful. By seeking dynamical in
 variants and symmetries\, we show how we can go from finding just predicti
 ve models to finding deeper conservation laws. We demonstrated this approa
 ch by automatically searching motion-tracking data captured from various p
 hysical systems\, ranging from simple harmonic oscillators to chaotic doub
 le-pendula to walking robots. Application to modeling physical and biologi
 cal systems will be shown.\n\nBiography\nHod Lipson is an Associate Profes
 sor of Mechanical & Aerospace Engineering and Computing & Information Scie
 nce at Cornell University in Ithaca\, NY. He directs the Creative machines
  Lab\, which focuses on novel ways for automatic design\, fabrication and 
 adaptation of virtual and physical machines. He has led work in areas such
  as evolutionary robotics\, multi-material functional rapid prototyping\, 
 machine self-replication and programmable self-assembly. Lipson received h
 is Ph.D. from the Technion - Israel Institute of Technology in 1998\, and 
 continued to a postdoc at Brandeis University and MIT. His research focuse
 s primarily on biologically-inspired approaches\, as they bring new ideas 
 to engineering and new engineering insights into biology.
LOCATION:BC 420 https://plan.epfl.ch/?room==BC%20420
STATUS:CONFIRMED
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