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DTSTART:20250309T030000
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DTSTART:20251102T010000
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DTSTAMP:20250602T185632Z
UID:CC5D53CB-A834-448F-BF1F-61DCED048446
DTSTART;TZID=America/Chicago:20250602T110000
DTEND;TZID=America/Chicago:20250602T120000
DESCRIPTION:Robotic odor source localization is a technology that enables a
  mobile robot or autonomous agent to locate hidden odor sources in unknown
  environments. This approach has significant potential for replacing human
  searchers in hazardous situations\, such as detecting chemical leaks or g
 as emissions. The key challenge lies in designing effective navigation alg
 orithms that allow the robot to respond appropriately to sensory inputs. T
 his presentation explores various olfactory-based navigation strategies\, 
 including AI-driven algorithms and semantic navigation approaches that fus
 e visual and olfactory data. The presentation also highlights real-world a
 pplications that demonstrate the capabilities and impact of robotic odor s
 ource localization systems.\n\n[]\n\nVirtual: https://events.vtools.ieee.o
 rg/m/486172
LOCATION:Virtual: https://events.vtools.ieee.org/m/486172
ORGANIZER:sreekumari@ulm.edu
SEQUENCE:45
SUMMARY:Robotic Odor Source Localization with AI Methods
URL;VALUE=URI:https://events.vtools.ieee.org/m/486172
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;Robotic odor source localization is a tech
 nology that enables a mobile robot or autonomous agent to locate hidden od
 or sources in unknown environments. This approach has significant potentia
 l for replacing human searchers in hazardous situations\, such as detectin
 g chemical leaks or gas emissions. The key challenge lies in designing eff
 ective navigation algorithms that allow the robot to respond appropriately
  to sensory inputs. This presentation explores various olfactory-based nav
 igation strategies\, including AI-driven algorithms and semantic navigatio
 n approaches that fuse visual and olfactory data. The presentation also hi
 ghlights real-world applications that demonstrate the capabilities and imp
 act of robotic odor source localization systems.&lt;/p&gt;\n&lt;p&gt;&lt;img style=&quot;displ
 ay: block\; margin-left: auto\; margin-right: auto\;&quot; src=&quot;https://events.
 vtools.ieee.org/vtools_ui/media/display/fa6d9bef-4f44-47b0-a135-b1ffc74706
 63&quot; alt=&quot;&quot;&gt;&lt;/p&gt;
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