Vaibhav V. Unhelkar

48 papers A* 14A 6B 1Misc 2Journal 21Unranked 4
YearRankTypeTitle / Venue / Authors
2026 J jnl
Hierarchical Reward Design from Language: Enhancing Alignment of Agent Behavior with Human Specifications.
CoRR
Zhiqin Qian, Ryan Diaz, Sangwon Seo, Vaibhav V. Unhelkar
2026 J jnl
Sampling-Based Motion Planning With Scene Graphs Under Perception Constraints.
IEEE Robotics Autom. Lett.
Qingxi Meng, Emiliano Flores, Thai Duong, Vaibhav V. Unhelkar, Lydia E. Kavraki
2026 J jnl
Sampling-Based Motion Planning with Scene Graphs Under Perception Constraints.
CoRR
Qingxi Meng, Emiliano Flores, Thai Duong, Vaibhav V. Unhelkar, Lydia E. Kavraki
2025 — conf
AI-Assisted Coordination of Human Teams in Situated Tasks.
AAAI Spring Symposia
Sangwon Seo, Zhiqin Qian, Vaibhav V. Unhelkar
2025 A conf
Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations.
AAMAS
Sangwon Seo, Vaibhav V. Unhelkar
2025 J jnl
Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations.
CoRR
Sangwon Seo, Vaibhav V. Unhelkar
2025 J jnl
Look as You Leap: Planning Simultaneous Motion and Perception for High-DOF Robots.
CoRR
Qingxi Meng, Emiliano Flores, Carlos Quintero-Peña, Peizhu Qian, Zachary Kingston, Shannan K. Hamlin, Vaibhav V. Unhelkar, Lydia E. Kavraki
2025 A conf
Socratic: Enhancing Human Teamwork via AI-enabled Coaching.
AAMAS
Sangwon Seo, Bing Han, Rayan Ebnali Harari, Roger D. Dias, Marco A. Zenati, Eduardo Salas, Vaibhav V. Unhelkar
2025 J jnl
Socratic: Enhancing Human Teamwork via AI-enabled Coaching.
CoRR
Sangwon Seo, Bing Han, Rayan Ebnali Harari, Roger D. Dias, Marco A. Zenati, Eduardo Salas, Vaibhav V. Unhelkar
2025 J jnl
Spatiotemporally Controlled Soft Robotics with Optically Responsive Liquid Crystal Elastomers.
Adv. Intell. Syst.
Elizabeth R. Blackert, Phoebe Scaccia, Morgan Barnes, Taniya M. S. K. Pathiranage, Rafael Verduzco, Vaibhav V. Unhelkar, Hanyu Zhu
2025 J jnl
Spatiotemporally Controlled Soft Robotics with Optically Responsive Liquid Crystal Elastomers.
Adv. Intell. Syst.
Elizabeth R. Blackert, Phoebe Scaccia, Morgan Barnes, Taniya M. S. K. Pathiranage, Rafael Verduzco, Vaibhav V. Unhelkar, Hanyu Zhu
2025 — conf
The Need for Human-AI Collaborative Methods for Conducting Audits of Machine Learning Models.
AAAI Spring Symposia
Yao Rong, Vaibhav V. Unhelkar
2024 A* conf
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation.
AAAI
Abhinav Jain, Vaibhav V. Unhelkar
2024 A* conf
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise.
AAAI
Yao Rong, Peizhu Qian, Vaibhav V. Unhelkar, Enkelejda Kasneci
2024 A conf
IDIL: Imitation Learning of Intent-Driven Expert Behavior.
AAMAS
Sangwon Seo, Vaibhav V. Unhelkar
2024 J jnl
IDIL: Imitation Learning of Intent-Driven Expert Behavior.
CoRR
Sangwon Seo, Vaibhav V. Unhelkar
2024 — conf
Measuring Variations in Workload during Human-Robot Collaboration through Automated After-Action Reviews.
HRI (Companion)
Zhiqin Qian, Liubove Orlov-Savko, Catherine Neubauer, Gregory Gremillion, Vaibhav V. Unhelkar
2024 — conf
PPS: Personalized Policy Summarization for Explaining Sequential Behavior of Autonomous Agents.
AIES (1)
Peizhu Qian, Harrison Huang, Vaibhav V. Unhelkar
2024 J jnl
RAG-Modulo: Solving Sequential Tasks using Experience, Critics, and Language Models.
CoRR
Abhinav Jain, Chris Jermaine, Vaibhav V. Unhelkar
2024 A* conf
RW4T Dataset: Data of Human-Robot Behavior and Cognitive States in Simulated Disaster Response Tasks.
HRI
Liubove Orlov-Savko, Zhiqin Qian, Gregory Gremillion, Catherine Neubauer, Jonroy D. Canady, Vaibhav V. Unhelkar
2024 J jnl
Towards Human-Centered Explainable AI: A Survey of User Studies for Model Explanations.
IEEE Trans. Pattern Anal. Mach. Intell.
Yao Rong, Tobias Leemann, Thai-trang Nguyen, Lisa Fiedler, Peizhu Qian, Vaibhav V. Unhelkar, Tina Seidel, Gjergji Kasneci, Enkelejda Kasneci
2023 A conf
Automated Task-Time Interventions to Improve Teamwork using Imitation Learning.
AAMAS
Sangwon Seo, Bing Han, Vaibhav V. Unhelkar
2023 J jnl
Automated Task-Time Interventions to Improve Teamwork using Imitation Learning.
CoRR
Sangwon Seo, Bing Han, Vaibhav V. Unhelkar
2023 J jnl
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation.
CoRR
Abhinav Jain, Vaibhav V. Unhelkar
2023 J jnl
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise.
CoRR
Yao Rong, Peizhu Qian, Vaibhav V. Unhelkar, Enkelejda Kasneci
2023 B conf
Robotic Tutors for Nurse Training: Opportunities for HRI Researchers.
RO-MAN
Carlos Quintero-Peña, Peizhu Qian, Nicole M. Fontenot, Hsin-Mei Chen, Shannan K. Hamlin, Lydia E. Kavraki, Vaibhav V. Unhelkar
2022 A conf
Evaluating the Role of Interactivity on Improving Transparency in Autonomous Agents.
AAMAS
Peizhu Qian, Vaibhav V. Unhelkar
2022 A conf
Factorial Agent Markov Model: Modeling Other Agents' Behavior in presence of Dynamic Latent Decision Factors.
AAMAS
Liubove Orlov-Savko, Abhinav Jain, Gregory M. Gremillion, Catherine E. Neubauer, Jonroy D. Canady, Vaibhav V. Unhelkar
2022 A* conf
Human-Guided Motion Planning in Partially Observable Environments.
ICRA
Carlos Quintero-Peña, Constantinos Chamzas, Zhanyi Sun, Vaibhav V. Unhelkar, Lydia E. Kavraki
2022 A* conf
Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations.
IJCAI
Sangwon Seo, Vaibhav V. Unhelkar
2022 J jnl
Semi-Supervised Imitation Learning of Team Policies from Suboptimal Demonstrations.
CoRR
Sangwon Seo, Vaibhav V. Unhelkar
2021 J jnl
A Bayesian Approach to Identifying Representational Errors.
CoRR
Ramya Ramakrishnan, Vaibhav V. Unhelkar, Ece Kamar, Julie Shah
2021 A* conf
Learning Dense Rewards for Contact-Rich Manipulation Tasks.
ICRA
Zheng Wu, Wenzhao Lian, Vaibhav V. Unhelkar, Masayoshi Tomizuka, Stefan Schaal
2021 Misc conf
Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare.
CogSIMA
Sangwon Seo, Lauren R. Kennedy-Metz, Marco A. Zenati, Julie A. Shah, Roger D. Dias, Vaibhav V. Unhelkar
2021 J jnl
Towards an AI Coach to Infer Team Mental Model Alignment in Healthcare.
CoRR
Sangwon Seo, Lauren R. Kennedy-Metz, Marco A. Zenati, Julie A. Shah, Roger D. Dias, Vaibhav V. Unhelkar
2020 A* conf
Decision-Making for Bidirectional Communication in Sequential Human-Robot Collaborative Tasks.
HRI
Vaibhav V. Unhelkar, Shen Li, Julie A. Shah
2020 J jnl
Learning Dense Rewards for Contact-Rich Manipulation Tasks.
CoRR
Zheng Wu, Wenzhao Lian, Vaibhav V. Unhelkar, Masayoshi Tomizuka, Stefan Schaal
2019 A* conf
Learning Models of Sequential Decision-Making with Partial Specification of Agent Behavior.
AAAI
Vaibhav V. Unhelkar, Julie A. Shah
2019 Misc conf
Semi-Supervised Learning of Decision-Making Models for Human-Robot Collaboration.
CoRL
Vaibhav V. Unhelkar, Shen Li, Julie A. Shah
2018 J jnl
Human-Aware Robotic Assistant for Collaborative Assembly: Integrating Human Motion Prediction With Planning in Time.
IEEE Robotics Autom. Lett.
Vaibhav V. Unhelkar, Przemyslaw A. Lasota, Quirin Tyroller, Rares-Darius Buhai, Laurie Marceau, Barbara Deml, Julie A. Shah
2018 A* conf
Learning and Communicating the Latent States of Human-Machine Collaboration.
IJCAI
Vaibhav V. Unhelkar, Julie A. Shah
2018 J jnl
Mobile Robots for Moving-Floor Assembly Lines: Design, Evaluation, and Deployment.
IEEE Robotics Autom. Mag.
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
2018 J jnl
Reports of the AAAI 2017 Fall Symposium Series.
AI Mag.
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
2017 A* conf
Evaluating Effects of User Experience and System Transparency on Trust in Automation.
HRI
X. Jessie Yang, Vaibhav V. Unhelkar, Kevin Li, Julie A. Shah
2016 A* conf
ConTaCT: Deciding to Communicate during Time-Critical Collaborative Tasks in Unknown, Deterministic Domains.
AAAI
Vaibhav V. Unhelkar, Julie A. Shah
2015 A* conf
Human-robot co-navigation using anticipatory indicators of human walking motion.
ICRA
Vaibhav V. Unhelkar, Claudia Pérez-D'Arpino, Leia Stirling, Julie A. Shah
2014 A* conf
Comparative performance of human and mobile robotic assistants in collaborative fetch-and-deliver tasks.
HRI
Vaibhav V. Unhelkar, Ho Chit Siu, Julie A. Shah
2014 A* conf
Towards control and sensing for an autonomous mobile robotic assistant navigating assembly lines.
ICRA
Vaibhav V. Unhelkar, Jorge Perez, James C. Boerkoel Jr., Johannes Bix, Stefan Bartscher, Julie A. Shah