CLIP-Motion: Learning Reward Functions for Robotic Actions Using Consecutive Observations

Xuzhe Dang, Stefan Edelkamp

This paper presents a novel method for learning reward functions for robotic motions by harnessing the power of a CLIP-based model. Traditional reward function design often hinges…