Machine learning for animatronic development and optimization

Mitchell, Kenny; Castellon, Joel; Bacher, Moritz; McCrory, Matt; Stolarz, Jeremy; Ayala, Alfredo

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.

Citation

Mitchell, K., Castellon, J., Bacher, M., McCrory, M., Stolarz, J., & Ayala, A. (2025). Machine learning for animatronic development and optimization. US12236168B2

• Online Publication Date: Feb 25, 2025
• Publication Date: Feb 25, 2025
• Deposit Date: Mar 18, 2025
• Public URL: http://researchrepository.napier.ac.uk/Output/4178292
• Publisher URL: https://ppubs.uspto.gov/dirsearch-public/print/downloadBasicPdf/12236168?requestToken=eyJzdWIiOiJhN2ZhMDdiMi1iNDA1LTRkNTctOGYwOC04ODIzMzA4ZDZkOGIiLCJ2ZXIiOiI1ZjRlZjdjOS02YTE3LTQwNzMtYjViOS1lNWZkZWFkYzkwMTQiLCJleHAiOjB9
• External URL: https://patents.google.com/patent/US12236168B2/en