| 2024 | AAAI | GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation. | Abhinav Jain, Vaibhav V. Unhelkar |
| 2024 | AAAI | I-CEE: Tailoring Explanations of Image Classification Models to User Expertise. | Yao Rong, Peizhu Qian, Vaibhav V. Unhelkar, Enkelejda Kasneci |
| 2024 | AIES | PPS: Personalized Policy Summarization for Explaining Sequential Behavior of Autonomous Agents. | Peizhu Qian, Harrison Huang, Vaibhav V. Unhelkar |
| 2024 | HRI | RW4T Dataset: Data of Human-Robot Behavior and Cognitive States in Simulated Disaster Response Tasks. | Liubove Orlov-Savko, Zhiqin Qian, Gregory Gremillion, Catherine Neubauer, Jonroy D. Canady, Vaibhav V. Unhelkar |
| 2024 | HRI | Measuring Variations in Workload during Human-Robot Collaboration through Automated After-Action Reviews. | Zhiqin Qian, Liubove Orlov-Savko, Catherine Neubauer, Gregory Gremillion, Vaibhav V. Unhelkar |
| 2023 | RO-MAN | Robotic Tutors for Nurse Training: Opportunities for HRI Researchers. | Carlos Quintero-Pea, Peizhu Qian, Nicole M. Fontenot, Hsin-Mei Chen, Shannan K. Hamlin, Lydia E. Kavraki, Vaibhav V. Unhelkar |
| 2022 | IJCAI | Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations. | Sangwon Seo, Vaibhav V. Unhelkar |
| 2022 | ICRA | Human-Guided Motion Planning in Partially Observable Environments. | Carlos Quintero-Pea, Constantinos Chamzas, Zhanyi Sun, Vaibhav V. Unhelkar, Lydia E. Kavraki |
| 2021 | CogSIMA | Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare. | Sangwon Seo, Lauren R. Kennedy-Metz, Marco A. Zenati, Julie A. Shah, Roger D. Dias, Vaibhav V. Unhelkar |
| 2021 | ICRA | Learning Dense Rewards for Contact-Rich Manipulation Tasks. | Zheng Wu, Wenzhao Lian, Vaibhav V. Unhelkar, Masayoshi Tomizuka, Stefan Schaal |
| 2020 | HRI | Decision-Making for Bidirectional Communication in Sequential Human-Robot Collaborative Tasks. | Vaibhav V. Unhelkar, Shen Li, Julie A. Shah |
| 2019 | AAAI | Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior. | Vaibhav V. Unhelkar, Julie A. Shah |
| 2019 | CoRL | Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration. | Vaibhav V. Unhelkar, Shen Li, Julie A. Shah |
| 2018 | IJCAI | Learning and Communicating the Latent States of Human-Machine Collaboration. | Vaibhav V. Unhelkar, Julie A. Shah |
| 2017 | HRI | Evaluating Effects of User Experience and System Transparency on Trust in Automation. | X. Jessie Yang, Vaibhav V. Unhelkar, Kevin Li, Julie A. Shah |
| 2016 | AAAI | ConTaCT: Deciding to Communicate during Time-Critical Collaborative Tasks in Unknown, Deterministic Domains. | Vaibhav V. Unhelkar, Julie A. Shah |
| 2015 | ICRA | Human-robot co-navigation using anticipatory indicators of human walking motion. | Vaibhav V. Unhelkar, Claudia Prez-D'Arpino, Leia Stirling, Julie A. Shah |
| 2014 | HRI | Comparative performance of human and mobile robotic assistants in collaborative fetch-and-deliver tasks. | Vaibhav V. Unhelkar, Ho Chit Siu, Julie A. Shah |
| 2014 | ICRA | Towards control and sensing for an autonomous mobile robotic assistant navigating assembly lines. | Vaibhav V. Unhelkar, Jorge Perez, James C. Boerkoel Jr., Johannes Bix, Stefan Bartscher, Julie A. Shah |