Nina Moorman

According to our database, Nina Moorman authored at least 13 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of two.

2025

Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind.

Mouad Abrini, Omri Abend, Dina M. Acklin, Henny Admoni, Gregor Aichinger, Nitay Alon, Zahra Ashktorab, Ashish Atreja, Moises Auron, Alexander Aufreiter, Raghav Awasthi, Soumya Banerjee, Joseph M. Barnby, Rhea Basappa, Severin Bergsmann, Djallel Bouneffouf, Patrick Callaghan, Marc Cavazza, Thierry Chaminade, Sonia Chernova, Mohamed Chetouani, Moumita Choudhury, Axel Cleeremans, Jacek B. Cywinski, Fabio Cuzzolin, Hokin Deng, N'yoma Diamond, Camilla Di Pasquasio, Guillaume Dumas, Max J. van Duijn, Mahapatra Dwarikanath, Qingying Gao, Ashok K. Goel, Rebecca Goldstein, Matthew C. Gombolay, Gabriel Enrique Gonzalez, Amar Halilovic, Tobias Halmdienst, Mahimul Islam, Julian Jara-Ettinger, Natalie Kastel, Renana Keydar, Ashish K. Khanna, Mahdi Khoramshahi, JiHyun Kim, MiHyeon Kim, YoungBin Kim, Senka Krivic, Nikita Krasnytskyi, Arun Kumar, JuneHyoung Kwon, Eunju Lee, Shane Lee, Peter R. Lewis, Xue Li, Yijiang Li, Michal Lewandowski, Nathan Lloyd, Matthew B. Luebbers, Dezhi Luo, Haiyun Lyu, Dwarikanath Mahapatra, Kamal Maheshwari, Mallika Mainali, Piyush Mathur, Patrick Mederitsch, Shuwa Miura, Manuel Preston de Miranda, Reuth Mirsky, Shreya Mishra, Nina Moorman, Katelyn Morrison, John Muchovej, Bernhard Nessler, Felix Nessler, Hieu Minh Jord Nguyen, Abby Ortego, Francis A. Papay, Antoine Pasquali, Hamed Rahimi, Charumathi Raghu, Amanda L. Royka, Stefan Sarkadi, Jaelle Scheuerman, Simon Schmid, Paul Schrater, Anik Sen, Zahra Sheikhbahaee, Ke Shi, Reid G. Simmons, Nishant Singh, Mason O. Smith, Ramira van der Meulen, Anthia Solaki, Haoran Sun, Viktor Szolga, Matthew E. Taylor, Travis Taylor, Sanne van Waveren, Juan David Vargas

CoRR, May, 2025

Bi-Directional Mental Model Reconciliation for Human-Robot Interaction with Large Language Models.

Nina Moorman, Michelle Zhao, Matthew B. Luebbers, Sanne van Waveren, Reid G. Simmons, Henny Admoni, Sonia Chernova, Matthew C. Gombolay

CoRR, March, 2025

Investigating strategies enabling novice users to teach plannable hierarchical tasks to robots.

Nina Moorman, Aman Singh, Manisha Natarajan, Erin Hedlund-Botti, Mariah Schrum, Chuxuan Yang, Lakshmi Seelam, Matthew C. Gombolay, Nakul Gopalan

Int. J. Robotics Res., 2025

2024

HRI '24: Workshop on Aging in Place.

Nina Marie Moorman, Michelle Zhao, Henny Admoni, Reid G. Simmons, Matthew C. Gombolay

Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024

2023

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, Letian Chen, Esmaeil Seraj, Matthew C. Gombolay

IEEE Robotics Autom. Lett., April, 2023

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

Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023

Impacts of Robot Learning on User Attitude and Behavior.

Nina Moorman, Erin Hedlund-Botti, Mariah Schrum, Manisha Natarajan, Matthew C. Gombolay

Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, 2023

2022

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

IEEE Robotics Autom. Lett., 2022

On the bipartiteness constant and expansion of Cayley graphs.

Nina Moorman, Peter Ralli, Prasad Tetali

Eur. J. Comb., 2022

Do People Trust Robots that Learn in the Home?

Nina Moorman, Matthew C. Gombolay

CoRR, 2022

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

Proceedings of the Robotics: Science and Systems XVIII, New York City, NY, USA, June 27, 2022

MIND MELD: Personalized Meta-Learning for Robot-Centric Imitation Learning.

Mariah L. Schrum, Erin Hedlund-Botti, Nina Moorman, Matthew C. Gombolay

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2022

2021

Effects of Social Factors and Team Dynamics on Adoption of Collaborative Robot Autonomy.

Mariah L. Schrum, Glen Neville, Michael J. Johnson, Nina Moorman, Rohan R. Paleja, Karen M. Feigh, Matthew C. Gombolay

Proceedings of the ACM/IEEE International Conference on Human-Robot Interaction, 2021