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DESCRIPTION:Extended Reality (XR) is emerging as a transformative tool in a
 dvanced manufacturing by enabling immersive\, data-driven\, and human-cent
 ered production environments. This talk presents the use of Extended Reali
 ty (XR)\, with an emphasis on 360? Virtual Reality (VR)\, for workforce tr
 aining in advanced semiconductor manufacturing. We demonstrate how immersi
 ve 360° VR environments can replicate cleanroom operations\, equipment in
 teraction\, safety procedures\, and process workflows\, enabling scalable 
 and risk-free training for technicians and engineers. Such immersive modul
 es provide experiential learning opportunities in high-cost\, high-precisi
 on settings where physical training access is limited\, supporting faster 
 onboarding\, standardized skill development\, and improved safety awarenes
 s. Beyond training\, the talk also discusses how XR platforms can be lever
 aged to enable more effective human–robot collaboration in advanced manu
 facturing. Specifically\, we highlight ongoing work on integrating intenti
 on detection and trajectory tracking within immersive environments to mode
 l operator behavior and predict movement patterns in real time. This human
 -in-the-loop framework allows robotic systems to adapt to human intent\, i
 mproving coordination\, safety\, and task efficiency in collaborative manu
 facturing scenarios.\n\nSpeaker(s): \, Sara Masoud\n\nRoom: 3130\, Bldg: C
 ollege of Engineering - ECE Department\, Wayne State University \, Detroit
 \, Michigan\, United States\, 48202\, Virtual: https://events.vtools.ieee.
 org/m/542029
LOCATION:Room: 3130\, Bldg: College of Engineering - ECE Department\, Wayne
  State University \, Detroit\, Michigan\, United States\, 48202\, Virtual:
  https://events.vtools.ieee.org/m/542029
ORGANIZER:gozde@wayne.edu
SEQUENCE:17
SUMMARY:Extended Reality for Smart Manufacturing: 360° VR Training and Hum
 an–Robot Teaming
URL;VALUE=URI:https://events.vtools.ieee.org/m/542029
X-ALT-DESC:Description: <br /><p>Extended Reality (XR) is emerging as a tra
 nsformative tool in advanced manufacturing by enabling immersive\, data-dr
 iven\, and human-centered production environments. This talk presents the 
 use of Extended Reality (XR)\, with an emphasis on 360? Virtual Reality (V
 R)\, for workforce training in advanced semiconductor manufacturing. We de
 monstrate how immersive 360&deg\; VR environments can replicate cleanroom 
 operations\, equipment interaction\, safety procedures\, and process workf
 lows\, enabling scalable and risk-free training for technicians and engine
 ers. Such immersive modules provide experiential learning opportunities in
  high-cost\, high-precision settings where physical training access is lim
 ited\, supporting faster onboarding\, standardized skill development\, and
  improved safety awareness. Beyond training\, the talk also discusses how 
 XR platforms can be leveraged to enable more effective human&ndash\;robot 
 collaboration in advanced manufacturing. Specifically\, we highlight ongoi
 ng work on integrating intention detection and trajectory tracking within 
 immersive environments to model operator behavior and predict movement pat
 terns in real time. This human-in-the-loop framework allows robotic system
 s to adapt to human intent\, improving coordination\, safety\, and task ef
 ficiency in collaborative manufacturing scenarios.</p>
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