Zhou, Yifan
Sonawani, Shubham
Phielipp, Mariano
Ben Amor, Heni
Stepputtis, Simon
Funding for this research was provided by:
National Science Foundation (CNS-1932068, CNS-1932068)
Article History
Received: 2 May 2023
Accepted: 26 July 2023
First Online: 30 August 2023
Declarations
:
: This manuscript expands upon our prior conference paper, “Modularity through Attention: Efficient Training and Transfer of Language-Conditioned Policies for Robot Manipulation” by Zhou et al., previously published as part of the Conference on Robot Learning (CoRL) 2022 proceedings held in Auckland, New Zealand. Particularly the methodology described in Sects. InternalRef removed and InternalRef removed have previously been published. Similarly, the results discussed in Sects. InternalRef removed and InternalRef removed have been previously published in the above publication. We confirm that the manuscript, in its current form, has not been published elsewhere and is not under consideration by another journal. Further, we confirm that all authors have approved the manuscript and agree with its submission to the Autonomous Robots Special Issue on Large Language Models in Robotics.