Mattia Cacciatore
Ragdoll Matching: a non-learned physics-based approach to Humanoid Animation applied to VR Avatars.
Rel. Andrea Bottino, Nuria Pelechano Gomez, Jose Luis Ponton Martinez, Francesco Strada. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Del Cinema E Dei Mezzi Di Comunicazione, 2024
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Abstract
The proliferation of Virtual Reality technologies has intensified the quest for enhanced immersion in virtual experiences. In this context, the simulation of the user's body in the form of a credibly animated Avatar, together with the care in ensuring expected and plausible interactions with the virtual environment, are both crucial factors that contribute to preserving a solid sense of presence in the user experience. This study presents a potential approach to achieve a real-time physics-driven humanoid character animation, implemented in the Unity game engine. We designed and developed a solution that permits to control a physics Ragdoll by providing as reference a target rig animated with a kinematic-based technique.
By doing so, the animated character is able to perform desired movements while being subjected to the physics engine, allowing collisions and interactions with the virtual environment
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