EXPLORING THE INTEGRATION OF MACHINE LEARNING AND ANIMATRONIC ATTENTION
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.
Authors
- Chayse Joseph Inniss
- Lucia Alday
- Tyler Bunnow
- David Sepulveda
- Icarus Newton
- Makena Dundon
- Nathaniel Bidwell
- Richard Posthuma
- Cole Garolis-Bechtold
- Lucas Tuan
- Isabella de Sousa Proulx
Publication Details
- Journal
- UA Campus Repository (The University of Arizona)
- Published
- 2025-10-01
- Primary Topic
- Human Motion and Animation
- Type
- article
- Field-Weighted Citation Impact
- 0.00