Intro

This chapter explores the SAM2Act framework, which merges visual foundation models with a specialized memory architecture for improved robotic manipulation. The conversation highlights the importance of memory in enabling robots to adapt and perform precision tasks in changing environments, surpassing traditional behavior cloning techniques.