Fabio started his career in game development at Milestone in Milan, before moving to Electronic Arts Canada. At EA, he’s a specialidt in character animation and physics, and is devoted to advancing the field to bring realistic and compelling characters to life.
Currently Fabio leads a research group focused on using machine learning for character animation and animation content creation.
Modern video games have reached remarkable levels of complexity, with photo-realistic environments and characters. Yet, while these virtual worlds look almost real in static images, the illusion falls apart quickly when characters move inside them.
Character animation technology in the videogame industry has been relying on now ageing techniques, despite advancements in academia, due to the inherent difficulty of balancing visual quality and gameplay responsiveness.
This situation has been challenged by the advent of Motion Matching, which has also paved the way for a plethora of new Machine Learning based techniques.
In this talk I’d like to guide you through a brief history of character animation in games, leading to a birds-eye view of the state of the art in character animation.
I will highlight advantages and short-comings of current and future approaches, and talk about the challenges of integrating these new technologies in modern game development.
Key takeaways: Attendees will get a high-level understanding of how character animations are brought to life in video-games, and a peek into what the future could look like.
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