Research organization
Meta AI
Embodied perception, video prediction, egocentric AI
Official research siteDirect answer
What does Meta AI research?
Embodied perception, video prediction, egocentric AI
Physical AI work
Meta AI contributes to the Physical AI ecosystem through embodied perception, video prediction, egocentric ai. This profile connects its public research projects with the roadmap topics needed to understand them.
Notable projects
- V-JEPA 2
- Project Aria
- Ego4D
- Ego-Exo4D
- AI Habitat
- PARTNR
Related paper explainers
V-JEPA 2: Self-Supervised Video Models for Physical Planning
V-JEPA 2 learns predictive video representations that support visual understanding and zero-shot robot control.
Ego4D: Unscripted First-Person Video Dataset
Ego4D is a large first-person video dataset for studying what people see, remember, manipulate, and anticipate.
Ego-Exo4D: First- and Third-Person Skilled Activity Dataset
Ego-Exo4D pairs synchronized first-person and third-person video with language, gaze, audio, pose, and 3D signals.
Aria Gen 2 Pilot Dataset
Aria Gen 2 Pilot Dataset captures daily activities with research glasses and synchronized multimodal sensor data.
PARTNR: Planning and Reasoning Tasks in Human-Robot Collaboration
PARTNR is a large benchmark for household human-robot collaboration with natural-language tasks.