English

On the Effectiveness of Retrieval, Alignment, and Replay in Manipulation

Robotics 2023-12-20 v1 Machine Learning

Abstract

Imitation learning with visual observations is notoriously inefficient when addressed with end-to-end behavioural cloning methods. In this paper, we explore an alternative paradigm which decomposes reasoning into three phases. First, a retrieval phase, which informs the robot what it can do with an object. Second, an alignment phase, which informs the robot where to interact with the object. And third, a replay phase, which informs the robot how to interact with the object. Through a series of real-world experiments on everyday tasks, such as grasping, pouring, and inserting objects, we show that this decomposition brings unprecedented learning efficiency, and effective inter- and intra-class generalisation. Videos are available at https://www.robot-learning.uk/retrieval-alignment-replay.

Keywords

Cite

@article{arxiv.2312.12345,
  title  = {On the Effectiveness of Retrieval, Alignment, and Replay in Manipulation},
  author = {Norman Di Palo and Edward Johns},
  journal= {arXiv preprint arXiv:2312.12345},
  year   = {2023}
}

Comments

Published in IEEE Robotics and Automation Letters (RA-L). (Accepted December 2023)