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SUMMARY:Human-Robot interaction and whole-body Robot sensing
DTSTART:20130503T110000
DTSTAMP:20261005T041030Z
UID:0ae4fbc5faba13d6a9c0d33c37dece07e80960ab45b9a0f3e1ee8acb
CATEGORIES:Conferences - Seminars
DESCRIPTION:Vladimir Lumelsky\, Professor Emeritus\, University of Wiscons
 in\nBio: Dr. Lumelsky is Professor Emeritus at University of Wisconsin-Mad
 ison. His Ph.D. in Applied Math is from the Institute of Control Sciences\
 , Russian National Academy of Sciences\, Moscow. He has held research and 
 faculty positions with Ford Motor Research Labs\, General Electric Researc
 h Center\, Yale University\, UW-Madison\, University of Maryland\, NASA-Go
 ddard Space Center. Concurrently he held visiting positions with the Tokyo
  institute of Science\, Japan\; Weizmann Institute\, Israel\; USA National
  Science Foundation\; USA-Antarctica South Pole Station\; NASA.\nApplicati
 ons that require robots operating in an uncertain environment or need clos
 e human-robot interaction are in great demand. Examples include robots pre
 paring the Mars surface for human arrival\; robots for assembly of large s
 pace telescopes\; robot helpers for the elderly\; robotic search and dispo
 sal of war mines. Advances in this area\, while impressive\, are also slow
  to come. Difficulties are many\, both on the robotics side and on human s
 ide: robots have hard time adjusting to unstructured tasks\, while human c
 ognition has serious limits in manipulating 3D motion. As a result\, appli
 cations where robots operate near humans – or far away from them – are
  exceedingly rare and exceedingly slow. The way out of this impasse is to 
 supply the robot with a whole-body sensing\, plus related intelligence - a
 n ability to sense surrounding objects at the robot’s whole body and uti
 lize this knowledge in real time. This calls for large-area flexible array
 s - sensitive skin covering the whole robot body. Whole-body sensing bring
 s interesting\, even unexpected\, properties: robots become inherently saf
 e\; human operators can move them fast\, with “natural” speeds\; resul
 ting robot motion strategies exceed human spatial reasoning skills\; natur
 al synergy of human-robot teams becomes realistic\; a mix of supervised an
 d unsupervised operation becomes feasible. We will review the algorithmic\
 , cognitive science\, hardware (materials\, electronics\, computing)\, and
  control issues involved in realizing such systems.
LOCATION:INF328
STATUS:CONFIRMED
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