10 citations · 14 across the 6 of their papers we have counts for
6 papers
Longitudinal Robot Learning from Demonstration with Care Providers in a Home Environment
Nina Moorman, Julianna Schalkwyk, Vriksha Srihari +6
Learning from demonstration (LfD) methods enable non-expert end users to teach robots novel skills without explicit programming. However most evaluations of the usability of LfD wi…
Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind
Mouad Abrini, Omri Abend, Dina Acklin +105
This volume includes a selection of papers presented at the Workshop on Advancing Artificial Intelligence through Theory of Mind held at AAAI 2025 in Philadelphia US on 3rd March 2…
Bi-Directional Mental Model Reconciliation for Human-Robot Interaction with Large Language Models
Nina Moorman, Michelle Zhao, Matthew B. Luebbers +5
In human-robot interactions, human and robot agents maintain internal mental models of their environment, their shared task, and each other. The accuracy of these representations d…
Workspace Optimization Techniques to Improve Prediction of Human Motion During Human-Robot Collaboration
Yi-Shiuan Tung, Matthew B. Luebbers, Alessandro Roncone +1
Understanding human intentions is critical for safe and effective human-robot collaboration. While state of the art methods for human goal prediction utilize learned models to acco…
Improving Human Legibility in Collaborative Robot Tasks through Augmented Reality and Workspace Preparation
Yi-Shiuan Tung, Matthew B. Luebbers, Alessandro Roncone +1
Understanding the intentions of human teammates is critical for safe and effective human-robot interaction. The canonical approach for human-aware robot motion planning is to first…
Automated Failure-Mode Clustering and Labeling for Informed Car-To-Driver Handover in Autonomous Vehicles
Aaquib Tabrez, Matthew B. Luebbers, Bradley Hayes
The car-to-driver handover is a critically important component of safe autonomous vehicle operation when the vehicle is unable to safely proceed on its own. Current implementations…