Jiayi Wang

Imagine training embodied agents with a dataset so realistic, humans prefer it 78% of the time – InHabit makes that possible.

Hyperspectral anomaly detection gets a serious upgrade: R2VD ditches scalar reconstruction errors for high-dimensional vector interference patterns, achieving state-of-the-art target detection and background suppression.

Humanoid robots can now groove in sync for a full four minutes on stage, thanks to a model-based control framework that anticipates disturbances and proactively adjusts foot placement.