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ORCIDMatthew B. Luebbers
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2020 – today
- 2026
[c10]Nina Marie Moorman
, Matthew B. Luebbers, Zhang Xi-Jia, Yee Ching (Marcus) Lau, Yixing Yao, Megan Langwasser, Zulfiqar Zaidi, Letian Chen, Sanne van Waveren, Matthew Gombolay:
Teaching the Teacher: Live Foundation Model and Augmented Reality Feedback for Human-to-Robot Skill Transfer. HRI 2026: 544-552- 2025
- [i5]Nina Moorman, Michelle Zhao, Matthew B. Luebbers, Sanne van Waveren, Reid G. Simmons, Henny Admoni, Sonia Chernova, Matthew C. Gombolay:
Bi-Directional Mental Model Reconciliation for Human-Robot Interaction with Large Language Models. CoRR abs/2503.07547 (2025) - [i4]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:
Proceedings of 1st Workshop on Advancing Artificial Intelligence through Theory of Mind. CoRR abs/2505.03770 (2025) - 2024
- [c9]Matthew B. Luebbers, Bradley Hayes:
Explainable Guidance and Justification for Mental Model Alignment in Human-Robot Teams. HRI (Companion) 2024: 118-120 - [c8]Yi-Shiuan Tung, Matthew B. Luebbers, Alessandro Roncone, Bradley Hayes:
Workspace Optimization Techniques to Improve Prediction of Human Motion During Human-Robot Collaboration. HRI 2024: 743-751 - [c7]Maciej K. Wozniak, Max Pascher, Bryce Ikeda, Matthew B. Luebbers, Ayesha Jena:
Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI). HRI (Companion) 2024: 1361-1363 - [c6]Matthew B. Luebbers, Aaquib Tabrez, Kanaka Samagna Talanki, Bradley Hayes:
Recency Bias in Task Performance History Affects Perceptions of Robot Competence and Trustworthiness. ICRA 2024: 11274-11280 - [i3]Yi-Shiuan Tung, Matthew B. Luebbers, Alessandro Roncone, Bradley Hayes:
Workspace Optimization Techniques to Improve Prediction of Human Motion During Human-Robot Collaboration. CoRR abs/2401.12965 (2024) - 2023
- [c5]Maciej Wozniak, Christine T. Chang, Matthew B. Luebbers, Bryce Ikeda, Michael E. Walker, Eric Rosen, Thomas Roy Groechel:
Virtual, Augmented, and Mixed Reality for Human-Robot Interaction (VAM-HRI). HRI (Companion) 2023: 938-940 - [c4]Christine T. Chang, Matthew B. Luebbers, Mitchell Hebert, Bradley Hayes:
Human Non-Compliance with Robot Spatial Ownership Communicated via Augmented Reality: Implications for Human-Robot Teaming Safety. ICRA 2023: 9785-9792 - [c3]Matthew B. Luebbers, Aaquib Tabrez, Kyler Ruvane, Bradley Hayes:
Autonomous Justification for Enabling Explainable Decision Support in Human-Robot Teaming. Robotics: Science and Systems 2023 - [i2]Yi-Shiuan Tung, Matthew B. Luebbers, Alessandro Roncone, Bradley Hayes:
Improving Human Legibility in Collaborative Robot Tasks through Augmented Reality and Workspace Preparation. CoRR abs/2311.05562 (2023) - 2022
- [c2]Aaquib Tabrez, Matthew B. Luebbers, Bradley Hayes:
Descriptive and Prescriptive Visual Guidance to Improve Shared Situational Awareness in Human-Robot Teaming. AAMAS 2022: 1256-1264 - 2021
- [c1]Matthew B. Luebbers, Connor Brooks, Carl L. Mueller, Daniel Szafir, Bradley Hayes:
ARC-LfD: Using Augmented Reality for Interactive Long-Term Robot Skill Maintenance via Constrained Learning from Demonstration. ICRA 2021: 3794-3800 - 2020
- [i1]Aaquib Tabrez, Matthew B. Luebbers, Bradley Hayes:
Automated Failure-Mode Clustering and Labeling for Informed Car-To-Driver Handover in Autonomous Vehicles. CoRR abs/2005.04439 (2020)
Coauthor Index
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