Machine learning for animatronic development and optimization

US12236168B2 · kind B2 · utility

Assignee

• Disney Enterprises, Inc. · US

Inventors

• Kenneth J. Mitchell · Glendale, US
• Matthew W. MCCRORY · Chicago, US
• Jeremy Oliveira STOLARZ · Verdugo City, US
• Joel D. CASTELLON · Berlin, DE
• Moritz Niklaus Bächer · Zürich, CH
• Alfredo Ayala · Walnut, US

Key dates

• Filing date: Oct 15, 2019
• Grant date: Feb 25, 2025
• Expiry date: Apr 8, 2042

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N3/088
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Techniques for animatronic design are provided. A plurality of simulated meshes is generated using a physics simulation model, where the plurality of simulated meshes corresponds to a plurality of actuator configurations for an animatronic mechanical design. A machine learning model is trained based on the plurality of simulated meshes and the plurality of actuator configurations. A plurality of predicted meshes is generated for the animatronic mechanical design, using the machine learning model, based on a second plurality of actuator configurations. Virtual animation of the animatronic mechanical design is facilitated based on the plurality of predicted meshes.