A searchable list of some of my publications is below. You can also access my publications from the following sites.
My ORCID is
https://orcid.org/0000-0002-6236-2969
Publications:
1.
K. Niranjan Kumar, Irfan Essa, Sehoon Ha
Words into Action: Learning Diverse Humanoid Robot Behaviors using Language Guided Iterative Motion Refinement Proceedings Article
In: CoRL Workshop on Language and Robot Learning Language as Grounding (with CoRL 2023), 2023.
@inproceedings{2023-Kumar-WIALDHRBULGIM,
title = {Words into Action: Learning Diverse Humanoid Robot Behaviors using Language Guided Iterative Motion Refinement},
author = {K. Niranjan Kumar and Irfan Essa and Sehoon Ha},
url = {https://doi.org/10.48550/arXiv.2310.06226
https://arxiv.org/abs/2310.06226
https://arxiv.org/pdf/2310.06226.pdf
https://www.kniranjankumar.com/words_into_action/
},
doi = {10.48550/arXiv.2310.06226},
year = {2023},
date = {2023-11-01},
urldate = {2023-11-01},
booktitle = {CoRL Workshop on Language and Robot Learning Language as Grounding (with CoRL 2023)},
abstract = {We present a method to simplify controller design by enabling users to train and fine-tune robot control policies using natural language commands. We first learn a neural network policy that generates behaviors given a natural language command, such as “walk forward”, by combining Large Language Models (LLMs), motion retargeting, and motion imitation. Based on the synthesized motion, we iteratively fine-tune by updating the text prompt and querying LLMs to find the best checkpoint associated with the closest motion in history.},
keywords = {arXiv, CoRL, robotics, vision & language},
pubstate = {published},
tppubtype = {inproceedings}
}
We present a method to simplify controller design by enabling users to train and fine-tune robot control policies using natural language commands. We first learn a neural network policy that generates behaviors given a natural language command, such as “walk forward”, by combining Large Language Models (LLMs), motion retargeting, and motion imitation. Based on the synthesized motion, we iteratively fine-tune by updating the text prompt and querying LLMs to find the best checkpoint associated with the closest motion in history.
Other Publication Sites
Copyright/About
[Please see the Copyright Statement that may apply to the content listed here.]
This list of publications is produced by using the teachPress plugin for WordPress.