Nina Moorman

According to our database, Nina Moorman authored at least 10 papers between 2021 and 2024.

Collaborative distances:

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

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 Johnson, Nina Moorman, Rohan R. Paleja, Karen M. Feigh, Matthew C. Gombolay

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