Meta, Facebook’s parent company, has unveiled a new AI model called Meta Motivo to advance digital avatar interactions within the Web3 and Metaverse ecosystems. The first-of-its-kind behavioral baseline model is designed to optimize full-body movement control of avatars, making their movements more human and fluid.

Meta Motivo leverages unsupervised reinforcement learning to enable virtual avatars to perform complex tasks, from simple gestures to dynamic body movements. According to Meta, the model requires no additional training and can seamlessly perform tasks such as motion tracking, goal achievement, and reward optimization.

In a blog post, Meta described Motivo as a breakthrough in AI-driven avatar control: “Motivo uses an unlabeled motion dataset to learn human behaviors, while retaining inference capabilities zero, making virtual interactions more natural and fluid. »

Meta shared a demo video on X (formerly Twitter), showcasing Motivo’s integration with virtual avatars. The clip featured a humanoid avatar performing complex body movements such as dancing and dynamic kicks, highlighting AI’s ability to trigger lifelike behavior.

Meta noted that Motivo’s AI framework would improve the physics and realism of virtual avatars on Metaverse platforms.

Motivo’s announcement is part of Meta’s broader efforts to refine its Metaverse technology. Earlier this year, Meta introduced Hyperscape, a tool capable of transforming 2D environments into photorealistic Metaverse backgrounds using smartphone cameras.

Meta’s Reality Labs division, responsible for metaverse projects, has faced consecutive losses since its inception in 2022. Despite these financial challenges, CEO Mark Zuckerberg remains committed to the metaverse vision, constantly investing in technologies such as Quest VR headsets and portable hardware.

In June, Meta restructured its Reality Labs team into two divisions: one dedicated to Quest headsets focused on the metaverse and the other exploring future wearable devices. The reorganization aims to streamline efforts to develop AI-based Web3 technologies.