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UID:490712ea277b8d2cb50fbf21ab400f02
CATEGORIES:Mathematical Physics Seminar
CREATED:20221116T125601
SUMMARY:Navigation in complex natural environments
LOCATION:zoom
DESCRIPTION:Abstract: Living systems face the challenge of navigating natural environme
 nts shaped by non-trivial physical mechanisms. Notable examples are provide
 d by long-distance orientation using airborne olfactory cues transported by
  turbulent flow, the tracking of surface-bound trails of odor cues, and fli
 ght in the lowest layers of the atmosphere. Terrestrial animals, insects, a
 nd birds have evolved navigation strategies that accomplish the above tasks
  with an efficiency that is often surprising and yet unmatched by human tec
 hnology. Indeed, robotic applications for olfactory sniffers and unmanned a
 erial vehicles face similar challenges for the automated location of explos
 ives, chemical, and toxic leaks, as well as the monitoring of biodiversity,
  surveillance, disaster relief, cargo transport, and agriculture. The inter
 disciplinary interplay between biology, physics, and robotics is key to joi
 ntly advancing fundamental understanding and technology. I shall review the
  above natural phenomena, then discuss the physics that constrains and shap
 es the navigation tasks, how machine-learning methods are brought to bear o
 n those tasks and conclude with the relevant strategies of behavior and ope
 n issues.\n
X-ALT-DESC;FMTTYPE=text/html:<p>Abstract:&nbsp;Living systems face the challenge of navigating natural e
 nvironments shaped by non-trivial physical mechanisms. Notable examples are
  provided by long-distance orientation using airborne olfactory cues transp
 orted by turbulent flow, the tracking of surface-bound trails of odor cues,
  and flight in the lowest layers of the atmosphere. Terrestrial animals, in
 sects, and birds have evolved navigation strategies that accomplish the abo
 ve tasks with an efficiency that is often surprising and yet unmatched by h
 uman technology. Indeed, robotic applications for olfactory sniffers and un
 manned aerial vehicles face similar challenges for the automated location o
 f explosives, chemical, and toxic leaks, as well as the monitoring of biodi
 versity, surveillance, disaster relief, cargo transport, and agriculture. T
 he interdisciplinary interplay between biology, physics, and robotics is ke
 y to jointly advancing fundamental understanding and technology. I shall re
 view the above natural phenomena, then discuss the physics that constrains 
 and shapes the navigation tasks, how machine-learning methods are brought t
 o bear on those tasks and conclude with the relevant strategies of behavior
  and open issues.</p>
CONTACT:Massimo Vergassola - CNRS/ENS Paris
DTSTAMP:20260828T185707
DTSTART;TZID=America/New_York:20221130T104500
DTEND;TZID=America/New_York:20221130T114500
SEQUENCE:0
TRANSP:OPAQUE
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