Comparative performance of human and mobile robotic assistants in collaborative fetch-and-deliver tasks. - Vaibhav V. Unhelkar; Ho Chit Siu; Julie A. Shah (HRI, 2014)

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 (ICRA, 2014)

Challenges in Developing a Collaborative Robotic Assistant for Automotive Assembly Lines. - Vaibhav Vasant Unhelkar; Julie A. Shah (HRI (Extended Abstracts), 2015)

Human-robot co-navigation using anticipatory indicators of human walking motion. - Vaibhav V. Unhelkar; Claudia Pérez-D'Arpino; Leia Stirling 001; Julie A. Shah (ICRA, 2015)

ConTaCT: Deciding to Communicate during Time-Critical Collaborative Tasks in Unknown, Deterministic Domains. - Vaibhav V. Unhelkar; Julie A. Shah (AAAI, 2016)

Evaluating Effects of User Experience and System Transparency on Trust in Automation. - X. Jessie Yang; Vaibhav V. Unhelkar; Kevin Li; Julie A. Shah (HRI, 2017)

Learning and Communicating the Latent States of Human-Machine Collaboration. - Vaibhav V. Unhelkar; Julie A. Shah (IJCAI, 2018)

Reports of the AAAI 2017 Fall Symposium Series. - Arjuna Flenner; Marlena R. Fraune; Laura M. Hiatt; Tony Kendall; John E. Laird; Christian Lebiere; Paul S. Rosenbloom; Frank Stein; Elin Anna Topp; Vaibhav V. Unhelkar; Ying Zhao 006 (AI Mag., 2018)

Human-Aware Robotic Assistant for Collaborative Assembly: Integrating Human Motion Prediction With Planning in Time. - Vaibhav V. Unhelkar; Przemyslaw A. Lasota; Quirin Tyroller; Rares-Darius Buhai; Laurie Marceau; Barbara Deml; Julie A. Shah (IEEE Robotics Autom. Lett., 2018)

Mobile Robots for Moving-Floor Assembly Lines: Design, Evaluation, and Deployment. - Vaibhav V. Unhelkar; Stefan Dörr; Alexander Bubeck; Przemyslaw A. Lasota; Jorge Perez; Ho Chit Siu; James C. Boerkoel Jr.; Quirin Tyroller; Johannes Bix; Stefan Bartscher; Julie A. Shah (IEEE Robotics Autom. Mag., 2018)

Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior. - Vaibhav V. Unhelkar; Julie A. Shah (AAAI, 2019)

Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration. - Vaibhav V. Unhelkar; Shen Li 003; Julie A. Shah (CoRL, 2019)

Decision-Making for Bidirectional Communication in Sequential Human-Robot Collaborative Tasks. - Vaibhav V. Unhelkar; Shen Li 003; Julie A. Shah (HRI, 2020)

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 (CogSIMA, 2021)

Learning Dense Rewards for Contact-Rich Manipulation Tasks. - Zheng Wu 002; Wenzhao Lian; Vaibhav V. Unhelkar; Masayoshi Tomizuka; Stefan Schaal (ICRA, 2021)

A Bayesian Approach to Identifying Representational Errors. - Ramya Ramakrishnan; Vaibhav V. Unhelkar; Ece Kamar; Julie Shah (CoRR, 2021)

Factorial Agent Markov Model: Modeling Other Agents' Behavior in presence of Dynamic Latent Decision Factors. - Liubove Orlov-Savko; Abhinav Jain 001; Gregory M. Gremillion; Catherine E. Neubauer; Jonroy D. Canady; Vaibhav V. Unhelkar (AAMAS, 2022)

Evaluating the Role of Interactivity on Improving Transparency in Autonomous Agents. - Peizhu Qian; Vaibhav V. Unhelkar (AAMAS, 2022)

Human-Guided Motion Planning in Partially Observable Environments. - Carlos Quintero-Peña; Constantinos Chamzas; Zhanyi Sun; Vaibhav V. Unhelkar; Lydia E. Kavraki (ICRA, 2022)

Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations. - Sangwon Seo; Vaibhav V. Unhelkar (IJCAI, 2022)

Automated Task-Time Interventions to Improve Teamwork using Imitation Learning. - Sangwon Seo; Bing Han; Vaibhav V. Unhelkar (AAMAS, 2023)

Robotic Tutors for Nurse Training: Opportunities for HRI Researchers. - Carlos Quintero-Peña; Peizhu Qian; Nicole M. Fontenot; Hsin-Mei Chen; Shannan K. Hamlin; Lydia E. Kavraki; Vaibhav V. Unhelkar (RO-MAN, 2023)

GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation. - Abhinav Jain 001; Vaibhav V. Unhelkar (AAAI, 2024)

I-CEE: Tailoring Explanations of Image Classification Models to User Expertise. - Yao Rong; Peizhu Qian; Vaibhav V. Unhelkar; Enkelejda Kasneci (AAAI, 2024)

PPS: Personalized Policy Summarization for Explaining Sequential Behavior of Autonomous Agents. - Peizhu Qian; Harrison Huang; Vaibhav V. Unhelkar (AIES (1), 2024)

IDIL: Imitation Learning of Intent-Driven Expert Behavior. - Sangwon Seo; Vaibhav V. Unhelkar (AAMAS, 2024)

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 (HRI, 2024)

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 (HRI (Companion), 2024)

Interactively Explaining Robot Policies to Humans in Integrated Virtual and Physical Training Environments. - Peizhu Qian; Vaibhav Vasant Unhelkar (HRI (Companion), 2024)

RAG-Modulo: Solving Sequential Tasks using Experience, Critics, and Language Models. - Abhinav Jain 001; Chris Jermaine; Vaibhav V. Unhelkar (CoRR, 2024)

Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations. - Yao Rong; Tobias Leemann; Thai-trang Nguyen; Lisa Fiedler; Peizhu Qian; Vaibhav V. Unhelkar; Tina Seidel; Gjergji Kasneci; Enkelejda Kasneci (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

The Need for Human-AI Collaborative Methods for Conducting Audits of Machine Learning Models. - Yao Rong; Vaibhav V. Unhelkar (AAAI Spring Symposia, 2025)

AI-Assisted Coordination of Human Teams in Situated Tasks. - Sangwon Seo; Zhiqin Qian; Vaibhav V. Unhelkar (AAAI Spring Symposia, 2025)

Socratic: Enhancing Human Teamwork via AI-enabled Coaching. - Sangwon Seo; Bing Han; Rayan Ebnali Harari; Roger D. Dias; Marco A. Zenati; Eduardo Salas; Vaibhav V. Unhelkar (AAMAS, 2025)

Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations. - Sangwon Seo; Vaibhav V. Unhelkar (AAMAS, 2025)