Claudio Zito

Feature-Based Transfer Learning for Robotic Push Manipulation

This paper presents a data-efficient approach to learning transferable forward models for robotic push manipulation. Our approach extends our previous work on contact-based predictors by leveraging information on the pushed object's local surface features. We test the hypothesis that, by conditionin…