Nina Moorman

PhD student, Department of Interactive Computing, Georgia Institute of Technology

Joined

May 2023

Names

Nina Moorman (Preferred)

Nina Marie Moorman

Nina M. Moorman

Emails

****@gatech.edu (Confirmed)

****@gmail.com (Confirmed)

Personal Links

Homepage

Google Scholar

DBLP

Career & Education History

PhD student

Department of Interactive Computing, Georgia Institute of Technology (gatech.edu)

2021 – 2026

Intern

Toyota Research Institute (tri.global)

2025 – 2025

Intern

Honda Research Institution US (honda-ri.com)

2023 – 2023

Advisors, Relations & Conflicts

PhD Advisor

Matthew Gombolay

2021 – 2026

Coauthor

Nakul Gopalan

2021 – 2025

Coauthor

Mariah L Schrum

2021 – 2024

Coauthor

Andrew Silva

2021 – 2023

Expertise

human robot interaction

2021 – 2024

learning from demonstration

2021 – 2024

Publications

ELEMENTAL: Interactive Learning from Demonstrations and Vision-Language Models for Reward Design in Robotics
Letian Chen, Nina Marie Moorman, Matthew Craig Gombolay
- ICML 2025 poster
- Readers: Everyone
Investigating the Impact of Experience on a User's Ability to Perform Hierarchical Abstraction
Nina Marie Moorman, Nakul Gopalan, Aman Singh, Erin Hedlund-Botti, Mariah L Schrum, Chuxuan Yang, Lakshmi Seelam, Matthew Gombolay
- Published: 13 Jun 2023, Last Modified: 01 Jul 2023
- RSS-23 LTAMP Spotlight
- Readers: Everyone
Athletic Mobile Manipulator System for Robotic Wheelchair Tennis
Zulfiqar Zaidi, Daniel Martin, Nathaniel Belles, Viacheslav Zakharov, Arjun Krishna, Kin Man Lee, Peter Wagstaff, Sumedh Naik, Matthew Sklar, Sugju Choi, Yoshiki Kakehi, Ruturaj Patil, Divya Mallemadugula, Florian Pesce, Peter Wilson, Wendell Hom, Matan Diamond, Bryan Zhao, Nina Moorman, Rohan R. Paleja et al. (3 additional authors not shown)
- Apr 2023 (modified: 16 Apr 2023)
- IEEE Robotics Autom. Lett. 2023
- Readers: Everyone
Investigating the Impact of Experience on a User's Ability to Perform Hierarchical Abstraction
Nina M. Moorman, Nakul Gopalan, Aman Singh, Erin Botti, Mariah Schrum, Chuxuan Yang, Lakshmi Seelam, Matthew C. Gombolay
- Published: 01 Jan 2023, Last Modified: 02 Feb 2024
- Robotics: Science and Systems 2023
- Readers: Everyone
Impacts of Robot Learning on User Attitude and Behavior
Nina Moorman, Erin Hedlund-Botti, Mariah Schrum, Manisha Natarajan, Matthew C. Gombolay
- Published: 01 Jan 2023, Last Modified: 12 May 2023
- HRI 2023
- Readers: Everyone
LanCon-Learn: Learning With Language to Enable Generalization in Multi-Task Manipulation
Andrew Silva, Nina Moorman, William Silva, Zulfiqar Zaidi, Nakul Gopalan, Matthew C. Gombolay
- 2022 (modified: 16 Apr 2023)
- IEEE Robotics Autom. Lett. 2022
- Readers: Everyone
Athletic Mobile Manipulator System for Robotic Wheelchair Tennis
Zulfiqar Zaidi, Daniel Martin, Nathaniel Belles, Viacheslav Zakharov, Arjun Krishna, Kin Man Lee, Peter Wagstaff, Sumedh Naik, Matthew Sklar, Sugju Choi, Yoshiki Kakehi, Ruturaj Patil, Divya Mallemadugula, Florian Pesce, Peter Wilson, Wendell Hom, Matan Diamond, Bryan Zhao, Nina Moorman, Rohan R. Paleja et al. (3 additional authors not shown)
- 2022 (modified: 16 Apr 2023)
- CoRR 2022
- Readers: Everyone
MIND MELD: Personalized Meta-Learning for Robot-Centric Imitation Learning
Mariah L. Schrum, Erin Hedlund-Botti, Nina Moorman, Matthew C. Gombolay
- Published: 01 Jan 2022, Last Modified: 12 May 2023
- HRI 2022
- Readers: Everyone
Negative Result for Learning from Demonstration: Challenges for End-Users Teaching Robots with Task And Motion Planning Abstractions
Nakul Gopalan, Nina Moorman, Manisha Natarajan, Matthew C. Gombolay
- Published: 01 Jan 2022, Last Modified: 02 Feb 2024
- Robotics: Science and Systems 2022
- Readers: Everyone
Do People Trust Robots that Learn in the Home?
Nina Moorman, Matthew C. Gombolay
- Published: 01 Jan 2022, Last Modified: 02 Feb 2024
- CoRR 2022
- Readers: Everyone

View all 12 publications

Co-Authors

View all 40 co-authors