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DTSTAMP:20260902T222709Z
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DTSTART;TZID=America/New_York:20260924T130000
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DESCRIPTION:Embodied AI puts intelligence inside machines that have to perc
 eive\, reason\, and act in the physical world\, where sensor data is noisy
  and there is no pause button. The talk covers perception\, decision makin
 g under uncertainty\, and AI-driven control in autonomous mobile robots\, 
 along with the open challenges and emerging applications of intelligent ro
 botic systems.\n\nPresenter: Dr. Gokhan Erdemir\, Senior Member IEEE\n\nDr
 . Gokhan Erdemir is an Associate Professor in the Department of Engineerin
 g Management and Technology at the University of Tennessee at Chattanooga 
 (UTC). He leads research activities in UTC’s Robotics\, Intelligent Syst
 ems\, and Control Lab (RISC-Lab)\, focusing on robotics\, autonomous mobil
 e systems\, intelligent control\, and AI-driven robotic applications. The 
 RISC-Lab supports research at the intersection of artificial intelligence 
 and mobile robotics. His recent research explores the convergence of embod
 ied artificial intelligence\, autonomous robotics\, and intelligent contro
 l\, with particular emphasis on integrating advanced AI capabilities into 
 the perception\, reasoning\, and action loops of physical robotic systems.
  His work spans edge-deployed language models for natural-language robot c
 ontrol\, vision-based localization in challenging environments\, AI-driven
  environmental and surface perception\, multi-robot coordination through n
 atural-language interfaces\, and adaptive decision-making for autonomous s
 ystems operating in complex and dynamic real-world environments.\n\nRoom: 
 ECS 426\, Maytag Room\, Bldg: UTC College of Engineering & Computer Scienc
 e Building\, Chattanooga\, Tennessee\, United States
LOCATION:Room: ECS 426\, Maytag Room\, Bldg: UTC College of Engineering & C
 omputer Science Building\, Chattanooga\, Tennessee\, United States
ORGANIZER:jhnelson@tva.gov
SEQUENCE:39
SUMMARY:Embodied AI and Robotics
URL;VALUE=URI:https://events.vtools.ieee.org/m/575507
X-ALT-DESC:Description: <br /><p><span style="font-family: arial\, helvetic
 a\, sans-serif\;"><span style="color: rgb(0\, 0\, 0)\;">Embodied</span> AI
  puts intelligence inside machines that have to perceive\, reason\, and ac
 t in the physical world\, where sensor data is noisy and there is no pause
  button.&nbsp\; The talk covers perception\, decision making under uncerta
 inty\, and AI-driven control in autonomous mobile robots\, along with the 
 open challenges and emerging applications of intelligent robotic systems.&
 nbsp\;&nbsp\;</span></p>\n<p><span style="font-family: arial\, helvetica\,
  sans-serif\;">Presenter: Dr. Gokhan Erdemir\, Senior Member IEEE&nbsp\;</
 span></p>\n<p><span style="font-size: 12pt\; line-height: 115%\; font-fami
 ly: arial\, helvetica\, sans-serif\;">Dr. Gokhan Erdemir is an Associate P
 rofessor in the Department of Engineering Management and Technology at the
  University of Tennessee at Chattanooga (UTC). He leads research activitie
 s in UTC&rsquo\;s Robotics\, Intelligent Systems\, and Control Lab (RISC-L
 ab)\, focusing on robotics\, autonomous mobile systems\, intelligent contr
 ol\, and AI-driven robotic applications. The RISC-Lab supports research at
  the intersection of artificial intelligence and mobile robotics. His rece
 nt research explores the convergence of embodied artificial intelligence\,
  autonomous robotics\, and intelligent control\, with particular emphasis 
 on integrating advanced AI capabilities into the perception\, reasoning\, 
 and action loops of physical robotic systems. His work spans edge-deployed
  language models for natural-language robot control\, vision-based localiz
 ation in challenging environments\, AI-driven environmental and surface pe
 rception\, multi-robot coordination through natural-language interfaces\, 
 and adaptive decision-making for autonomous systems operating in complex a
 nd dynamic real-world environments.</span></p>
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