Keru Zhou

KAM-WM: Kinematic Affordance Maps from Latent World Models for Robot Manipulation

Xinyu Shao, Keru Zhou, Guowei Huang, Yajun Gao, Tongtong Cao, Xiu Li

Learning manipulation from few demonstrations requires visual priors that capture not only where to interact, but also how the interaction should begin; static priors such as segmentation masks encode only the former. We present KAM-WM, a framework that extracts a coarse directio…Read more