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Vaibhav V. Unhelkar

Vaibhav Vasant Unhelkar

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affiliation: Rice University, Houston, TX, USA

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2020 – today

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2024
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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): 2104-2122 (2024)
[c24]
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Abhinav Jain, Vaibhav V. Unhelkar:
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation. AAAI 2024: 12763-12772
[c23]
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Yao Rong, Peizhu Qian, Vaibhav V. Unhelkar, Enkelejda Kasneci:
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise. AAAI 2024: 21545-21553
[c22]
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Sangwon Seo, Vaibhav V. Unhelkar:
IDIL: Imitation Learning of Intent-Driven Expert Behavior. AAMAS 2024: 1673-1682
[c21]
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Peizhu Qian, Vaibhav Vasant Unhelkar:
Interactively Explaining Robot Policies to Humans in Integrated Virtual and Physical Training Environments. HRI (Companion) 2024: 847-851
[c20]
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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: 852-856
[c19]
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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: 924-928
[i9]
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  - journals/corr/abs-2404-16989
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Sangwon Seo, Vaibhav V. Unhelkar:
IDIL: Imitation Learning of Intent-Driven Expert Behavior. CoRR abs/2404.16989 (2024)
[i8]
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  - journals/corr/abs-2409-12294
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Abhinav Jain, Chris Jermaine, Vaibhav V. Unhelkar:
RAG-Modulo: Solving Sequential Tasks using Experience, Critics, and Language Models. CoRR abs/2409.12294 (2024)
2023
[c18]
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Sangwon Seo, Bing Han, Vaibhav V. Unhelkar:
Automated Task-Time Interventions to Improve Teamwork using Imitation Learning. AAMAS 2023: 335-344
[c17]
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  - conf/ro-man/QuinteroPenaQFCHKU23
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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: 220-225
[i7]
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  - journals/corr/abs-2303-00413
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Sangwon Seo, Bing Han, Vaibhav V. Unhelkar:
Automated Task-Time Interventions to Improve Teamwork using Imitation Learning. CoRR abs/2303.00413 (2023)
[i6]
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  - journals/corr/abs-2312-10802
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Abhinav Jain, Vaibhav V. Unhelkar:
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation. CoRR abs/2312.10802 (2023)
[i5]
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  - journals/corr/abs-2312-12102
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Yao Rong, Peizhu Qian, Vaibhav V. Unhelkar, Enkelejda Kasneci:
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise. CoRR abs/2312.12102 (2023)
2022
[c16]
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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: 982-1000
[c15]
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Peizhu Qian, Vaibhav V. Unhelkar:
Evaluating the Role of Interactivity on Improving Transparency in Autonomous Agents. AAMAS 2022: 1083-1091
[c14]
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Carlos Quintero-Peña, Constantinos Chamzas, Zhanyi Sun, Vaibhav V. Unhelkar, Lydia E. Kavraki:
Human-Guided Motion Planning in Partially Observable Environments. ICRA 2022: 7226-7232
[c13]
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Sangwon Seo, Vaibhav V. Unhelkar:
Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations. IJCAI 2022: 2492-2500
[i4]
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  - journals/corr/abs-2205-02959
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Sangwon Seo, Vaibhav V. Unhelkar:
Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations. CoRR abs/2205.02959 (2022)
2021
[c12]
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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: 39-44
[c11]
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Zheng Wu, Wenzhao Lian, Vaibhav V. Unhelkar, Masayoshi Tomizuka, Stefan Schaal:
Learning Dense Rewards for Contact-Rich Manipulation Tasks. ICRA 2021: 6214-6221
[i3]
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  - journals/corr/abs-2102-08507
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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 abs/2102.08507 (2021)
[i2]
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  - journals/corr/abs-2103-15171
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Ramya Ramakrishnan, Vaibhav V. Unhelkar, Ece Kamar, Julie Shah:
A Bayesian Approach to Identifying Representational Errors. CoRR abs/2103.15171 (2021)
2020
[c10]
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Vaibhav V. Unhelkar, Shen Li, Julie A. Shah:
Decision-Making for Bidirectional Communication in Sequential Human-Robot Collaborative Tasks. HRI 2020: 329-341
[i1]
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  - journals/corr/abs-2011-08458
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Zheng Wu, Wenzhao Lian, Vaibhav V. Unhelkar, Masayoshi Tomizuka, Stefan Schaal:
Learning Dense Rewards for Contact-Rich Manipulation Tasks. CoRR abs/2011.08458 (2020)

2010 – 2019

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2019
[c9]
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Vaibhav V. Unhelkar, Julie A. Shah:
Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior. AAAI 2019: 2522-2530
[c8]
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Vaibhav V. Unhelkar, Shen Li, Julie A. Shah:
Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration. CoRL 2019: 192-203
2018
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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): 81-86 (2018)
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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): 2394-2401 (2018)
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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): 72-81 (2018)
[c7]
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Vaibhav V. Unhelkar, Julie A. Shah:
Learning and Communicating the Latent States of Human-Machine Collaboration. IJCAI 2018: 5789-5790
2017
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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: 408-416
2016
[c5]
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Vaibhav V. Unhelkar, Julie A. Shah:
ConTaCT: Deciding to Communicate during Time-Critical Collaborative Tasks in Unknown, Deterministic Domains. AAAI 2016: 2544-2550
2015
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Vaibhav Vasant Unhelkar, Julie A. Shah:
Challenges in Developing a Collaborative Robotic Assistant for Automotive Assembly Lines. HRI (Extended Abstracts) 2015: 239-240
[c3]
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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: 6183-6190
2014
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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: 82-89
[c1]
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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: 4161-4167

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