Ziyao Gao

GLOVER++: Unleashing the Potential of Affordance Learning from Human Behaviors for Robotic Manipulation

Learning manipulation skills from human demonstration videos offers a promising path toward generalizable and interpretable robotic intelligence—particularly through the lens of *actionable affordances*. However, transferring such knowledge remains challenging due to: 1) a lack of large-scale data…