Vaibhav V. Unhelkar

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 29

Top Topics

Imitation Learning

Partially Observable Environments

Top Venues

Publications

Sangwon Seo, Vaibhav V. Unhelkar
IDIL: Imitation Learning of Intent-Driven Expert Behavior. AAMAS (2024)
Sangwon Seo, Vaibhav V. Unhelkar
IDIL: Imitation Learning of Intent-Driven Expert Behavior. CoRR (2024)
Abhinav Jain, Vaibhav V. Unhelkar
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation. AAAI (2024)
Yao Rong, Peizhu Qian, Vaibhav V. Unhelkar, Enkelejda Kasneci
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise. AAAI (2024)
Liubove Orlov-Savko, Zhiqin Qian, Gregory Gremillion, Catherine Neubauer, Jonroy D. Canady, Vaibhav V. Unhelkar
RW4T Dataset: Data of Human-Robot Behavior and Cognitive States in Simulated Disaster Response Tasks. HRI (2024)
Yao Rong, Tobias Leemann, Thai-trang Nguyen, Lisa Fiedler, Peizhu Qian, Vaibhav V. Unhelkar, Tina Seidel, Gjergji Kasneci, Enkelejda Kasneci
Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations. IEEE Trans. Pattern Anal. Mach. Intell. 46 (4) (2024)
Zhiqin Qian, Liubove Orlov-Savko, Catherine Neubauer, Gregory Gremillion, Vaibhav V. Unhelkar
Measuring Variations in Workload during Human-Robot Collaboration through Automated After-Action Reviews. HRI (Companion) (2024)
Sangwon Seo, Bing Han, Vaibhav V. Unhelkar
Automated Task-Time Interventions to Improve Teamwork using Imitation Learning. AAMAS (2023)
Sangwon Seo, Bing Han, Vaibhav V. Unhelkar
Automated Task-Time Interventions to Improve Teamwork using Imitation Learning. CoRR (2023)
Carlos Quintero-Peña, Peizhu Qian, Nicole M. Fontenot, Hsin-Mei Chen, Shannan K. Hamlin, Lydia E. Kavraki, Vaibhav V. Unhelkar
Robotic Tutors for Nurse Training: Opportunities for HRI Researchers. RO-MAN (2023)
Abhinav Jain, Vaibhav V. Unhelkar
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation. CoRR (2023)
Yao Rong, Peizhu Qian, Vaibhav V. Unhelkar, Enkelejda Kasneci
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise. CoRR (2023)
Liubove Orlov-Savko, Abhinav Jain, Gregory M. Gremillion, Catherine E. Neubauer, Jonroy D. Canady, Vaibhav V. Unhelkar
Factorial Agent Markov Model: Modeling Other Agents' Behavior in presence of Dynamic Latent Decision Factors. AAMAS (2022)
Sangwon Seo, Vaibhav V. Unhelkar
Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations. IJCAI (2022)
Sangwon Seo, Vaibhav V. Unhelkar
Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations. CoRR (2022)
Carlos Quintero-Peña, Constantinos Chamzas, Zhanyi Sun, Vaibhav V. Unhelkar, Lydia E. Kavraki
Human-Guided Motion Planning in Partially Observable Environments. ICRA (2022)
Peizhu Qian, Vaibhav V. Unhelkar
Evaluating the Role of Interactivity on Improving Transparency in Autonomous Agents. AAMAS (2022)
Sangwon Seo, Lauren R. Kennedy-Metz, Marco A. Zenati, Julie A. Shah, Roger D. Dias, Vaibhav V. Unhelkar
Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare. CoRR (2021)
Ramya Ramakrishnan, Vaibhav V. Unhelkar, Ece Kamar, Julie Shah
A Bayesian Approach to Identifying Representational Errors. CoRR (2021)
Sangwon Seo, Lauren R. Kennedy-Metz, Marco A. Zenati, Julie A. Shah, Roger D. Dias, Vaibhav V. Unhelkar
Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare. CogSIMA (2021)
Vaibhav V. Unhelkar, Shen Li, Julie A. Shah
Decision-Making for Bidirectional Communication in Sequential Human-Robot Collaborative Tasks. HRI (2020)
Vaibhav V. Unhelkar, Shen Li, Julie A. Shah
Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration. CoRL (2019)
Vaibhav V. Unhelkar, Julie A. Shah
Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior. AAAI (2019)
Vaibhav V. Unhelkar, Julie A. Shah
Learning and Communicating the Latent States of Human-Machine Collaboration. IJCAI (2018)
Vaibhav V. Unhelkar, Przemyslaw A. Lasota, Quirin Tyroller, Rares-Darius Buhai, Laurie Marceau, Barbara Deml, Julie A. Shah
Human-Aware Robotic Assistant for Collaborative Assembly: Integrating Human Motion Prediction With Planning in Time. IEEE Robotics Autom. Lett. 3 (3) (2018)
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
Reports of the AAAI 2017 Fall Symposium Series. AI Mag. 39 (2) (2018)
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
Mobile Robots for Moving-Floor Assembly Lines: Design, Evaluation, and Deployment. IEEE Robotics Autom. Mag. 25 (2) (2018)
X. Jessie Yang, Vaibhav V. Unhelkar, Kevin Li, Julie A. Shah
Evaluating Effects of User Experience and System Transparency on Trust in Automation. HRI (2017)
Vaibhav V. Unhelkar, Julie A. Shah
ConTaCT: Deciding to Communicate during Time-Critical Collaborative Tasks in Unknown, Deterministic Domains. AAAI (2016)
Vaibhav V. Unhelkar, Claudia Pérez-D'Arpino, Leia Stirling, Julie A. Shah
Human-robot co-navigation using anticipatory indicators of human walking motion. ICRA (2015)
Vaibhav V. Unhelkar, Ho Chit Siu, Julie A. Shah
Comparative performance of human and mobile robotic assistants in collaborative fetch-and-deliver tasks. HRI (2014)
Vaibhav V. Unhelkar, Jorge Perez, James C. Boerkoel Jr., Johannes Bix, Stefan Bartscher, Julie A. Shah
Towards control and sensing for an autonomous mobile robotic assistant navigating assembly lines. ICRA (2014)