Picture taken by Anna Beloborodova
I'm a Ph.D. student in Computer Science, working on robotics. I'm fortunate to be advised by Professor Shuran Song and to be a member of the Robotics & Embodied Artificial Intelligence Lab (REAL) @ Stanford.
In my non-existent freetime, I take photos, train dogs, and care for my 20 plants. I'm a proud dog dad of two beautiful boys, Mo and Oliver. They are my whole world.
Updates
- Nov 2024 Dynamics-Guided Diffusion Models won Best Machine Learning Paper at the Morphology-Aware Policy and Design Learning Workshop!
- Nov 2024 UMI on Legs was accepted to the WCBM and X-Embodiment Robot Learning workshop!
- Oct 2024 I was selected as an Amazon Robotics Ph.D. Communication Finalist!
- Aug 2024 UMI on Legs was accepted to CoRL 2024!
- Oct 2023 Scaling Up Distilling Down was accepted for Oral Presentation at both the LangRob workshop and the Cognitive Science & Robot Learning workshop!
- Aug 2023 Scaling Up Distilling Down was accepted to CoRL 2023!
- Sep 2022 My first Ph.D. project got accepted to CoRL 2022!
- Nov 2021 FlingBot won Best System Paper Award at CoRL 2021!
- Apr 2021 I was a recipient of the Theodore R. Bashkow Award
- Feb 2021 I was selected as a Dean's Fellow for Columbia University's Ph.D. program
- Oct 2020 My first two first-author papers got accepted to CoRL 2020!
- Aug 2020 I will be TAing Computer Animation for professor Changxi Zheng
Research
Ruoshi Liu,
Huy Ha,
Mengxue Hou,
Shuran
Song,
Carl Vondrick,
Pre-print
ArXiv,
Website,
Colab
Huy Ha,
Yihuai Gao,
Zipeng Fu,
Jie Tan,
Shuran
Song
Conference on Robot Learning (CoRL 2024)
Whole-body Control and Bimanual Manipulation Workshop (CoRL 2024), Spotlight Presentation
X-Embodiment Workshop (CoRL 2024)
ArXiv,
Website,
Colab
Xiaomeng Xu,Huy Ha, Shuran
Song
Conference on Robot Learning (CoRL 2024)
Morphology-Aware Policy and Design Learning Workshop (CoRL 2024), Best Machine Learning Paper
ArXiv,
Website,
Github
Alexander
Khazatsky,
Karl Pertsch et al.
Robotics: Science and Systems (RSS 2024)
ArXiv,
Website,
Colab
Ruoshi Liu,
Junbang Liang,
Sruthi Sudhakar,
Huy Ha,
Cheng Chi,
Shuran Song
Carl Vondrick
Pre-print
ArXiv,
Website,
Github
Huy Ha, Pete Florence, Shuran
Song
Conference on Robot Learning (CoRL 2023)
LangRob Workshop (CoRL 2023), Oral Presentation
Cognitive Science & Robot Learning Workshop (CoRL 2023), Oral Presentation
ArXiv,
Website,
Github
Alper Canberk,
Cheng Chi,
Huy Ha,
Benjamin Burchfiel,
Eric Cousineau,
Siyuan Feng,
Shuran
Song
International Conference on Robotics and Automation (ICRA 2023)
ArXiv,
Website,
Github
Bag All You Need:
Learning a Generalizable Bagging Strategy for Heterogeneous Objects
Arpit Bahety*,
Shreeya
Jain*,
Huy Ha,
Nathalie Hager,
Benjamin Burchfiel,
Eric Cousineau,
Siyuan Feng,
Shuran Song
International Conference on Intelligent Robots and Systems (IROS 2023)
ArXiv,
Website,
Github
Huy Ha, Shuran
Song
Conference on Robot Learning (CoRL 2022)
ArXiv,
Website,
Github
Huy Ha, Shuran
Song
Conference on Robot Learning (CoRL 2021), Best System Paper, Oral Presentation
ArXiv,
Website,
Github,
Video
Huy Ha, Jingxi Xu, Shuran
Song
Conference on Robot Learning (CoRL 2020)
ArXiv,
Website,
Github,
Video
Huy Ha*, Shubham Agrawal*, Shuran
Song
Conference on Robot Learning (CoRL 2020)
ArXiv,
Website,
Github,
Video
* indicates equal contribution, WALL-E & EVE mesh by AurlC