Visual Geometric Skill Inference by Watching Human Demonstration
Jun Jin,Laura Petrich,Zichen Zhang,Masood Dehghan,Martin Jagersand,Jun Jin,Laura Petrich,Zichen Zhang,Masood Dehghan,Martin Jagersand
We study the problem of learning manipulation skills from human demonstration video by inferring the association relationships between geometric features. Motivation for this work stems from the observation that humans perform eye-hand coordination tasks by using geometric primitives to define a task while a geometric control error drives the task through execution. We propose a graph based kernel...
