Vaibhav Unhelkar

Computer Science · Physical Sciences

13h-index952citations54works0.82yr avg
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Research Topics

Reinforcement Learning in Robotics(17), Robot Manipulation and Learning(12), Human-Automation Interaction and Safety(11), Explainable Artificial Intelligence (XAI)(10), Social Robot Interaction and HRI(6)

Publications54 total

Hierarchical Reward Design from Language: Enhancing Alignment of Agent Behavior with Human Specifications
ArXiv.org·2026Open Access
Hierarchical Reward Design from Language: Enhancing Alignment of Agent Behavior with Human Specifications
arXiv (Cornell University)·2026Open Access
ASTRID: A Robotic Tutor for Nurse Training to Reduce Healthcare-Associated Infections
2025Open Access
Spatiotemporally Controlled Soft Robotics with Optically Responsive Liquid Crystal Elastomers
Advanced Intelligent Systems·2025Open Access
Socratic: Enhancing Human Teamwork via AI-enabled Coaching
2025
The Need for Human-AI Collaborative Methods for Conducting Audits of Machine Learning Models
Proceedings of the AAAI Symposium Series·2025Open Access
Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations
2025
AI-Assisted Coordination of Human Teams in Situated Tasks
Proceedings of the AAAI Symposium Series·2025Open Access
Spatiotemporally Controlled Soft Robotics with Optically Responsive Liquid Crystal Elastomers
Advanced Intelligent Systems·2025· 1 citedOpen Access
Hierarchical Imitation Learning of Team Behavior from Heterogeneous Demonstrations
arXiv (Cornell University)·2025Open Access
Socratic: Enhancing Human Teamwork via AI-enabled Coaching
arXiv (Cornell University)·2025Open Access
Evaluation of Large Language Models to Detect Team Mental Model Misalignments During Cardiac Surgery
2025Open Access
PPS: Personalized Policy Summarization for Explaining Sequential Behavior of Autonomous Agents
Proceedings of the AAAI/ACM Conference on AI Ethics and Society·2024· 1 citedOpen Access
Misalignment of Cognitive Processes within Cardiac Surgery Teams
2024· 1 citedOpen Access
IDIL: Imitation Learning of Intent-Driven Expert Behavior
2024· 1 cited
IDIL: Imitation Learning of Intent-Driven Expert Behavior
arXiv (Cornell University)·2024· 1 citedOpen Access
GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 4 citedOpen Access
I-CEE: Tailoring Explanations of Image Classification Models to User Expertise
Proceedings of the AAAI Conference on Artificial Intelligence·2024· 1 citedOpen Access
RW4T Dataset: Data of Human-Robot Behavior and Cognitive States in Simulated Disaster Response Tasks
2024· 3 citedOpen Access
Measuring Variations in Workload during Human-Robot Collaboration through Automated After-Action Reviews
2024· 3 citedOpen Access
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Frequent Co-authors

Julie Shah(16), Peizhu Qian(8), Sangwon Seo(7), Yao Rong(5), Enkelejda Kasneci(4), Sangwon Seo(4), Roger D. Dias(4), Zhiqin Qian(4), Przemyslaw A. Lasota(3), Quirin Tyroller(3), Ho Chit Siu(3), Jorge Perez(3), James C. Boerkoel(3), Johannes Bix(3), Stefan Bartscher(3), Carlos Quintero(3), Lydia E. Kavraki(3), Abhinav Jain(3), Gregory M. Gremillion(3), Catherine Neubauer(3)