EXPLORING THE INTEGRATION OF MACHINE LEARNING AND ANIMATRONIC ATTENTION
Author
Inniss, Chayse JosephGarolis-Bechtold, Cole
Sepulveda, David
Newton, Icarus
Proulx, Isabella de Sousa
Tuan, Lucas
Alday, Lucia
Dundon, Makena
Bidwell, Nathaniel
Posthuma, Richard
Bunnow, Tyler
Advisor
Marcellin, MichaelAffiliation
The University of Arizona Department of Electrical and Computer EngineeringIssue Date
2025-10
Metadata
Show full item recordCitation
Inniss, Chayse Joseph, Garolis-Bechtold, Cole, Sepulveda, David, Newton, Icarus, Proulx, Isabella de Sousa, Tuan, Lucas, Alday, Lucia, Dundon, Makena, Bidwell, Nathaniel, Posthuma, Richard, Bunnow, Tyler . (2025.) EXPLORING THE INTEGRATION OF MACHINE LEARNING AND ANIMATRONIC ATTENTION. International Telemetering Conference Proceedings, 60.Additional Links
https://telemetry.org/Abstract
Advancements in Artificial Intelligence (AI) are transforming the themed entertainment industry by enhancing animatronic engagement and immersion. Traditional animatronics rely on pre-programmed sequences or human operators, limiting their responsiveness to guests. Exploring AI and camera tracking can enable animatronics to interact dynamically with large crowds and adjust behavior based on real-time audience actions. By integrating telemetry, sensors, and machine learning, animatronics can focus their attention and respond more naturally to human movements and sounds. Adaptive systems like these create a more immersive and lifelike experience, reducing the need for human control and improving overall guest satisfaction.Type
Proceedingstext
Language
enISSN
0884-51231546-2188
