Shreyas Bhat | Ph.D. Candidate in Robotics & IOE

About Me

[cite_start]I am a Ph.D. candidate at the University of Michigan (GPA 4.0) specializing in Industrial and Operations Engineering[cite: 5, 6]. [cite_start]My research focuses on trust-driven human-robot interaction, leveraging machine learning and dynamic programming to improve collaboration between humans and autonomous systems[cite: 10, 26]. [cite_start]Previously, I earned an M.S. in Robotics from Michigan and a B.Tech from IIT Bombay[cite: 13, 15, 17].

Current Research & Projects

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Human-AGV Collaboration in Manufacturing [cite: 31]

Modeling worker walking behavior using Finite Automaton Models (FAM) and Temporal Fusion Transformers[cite: 31, 32].
Implementing real-time predictive policies in Unreal Engine 5 to adjust AGV behavior based on worker movement[cite: 31, 33, 34].

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Trust-driven Human-Robot Interaction [cite: 26]

Applying Bayesian Inverse Reinforcement Learning to capture human preferences during collaborative tasks[cite: 29].
Developing interactive simulations in Unreal Engine 4 to evaluate value alignment[cite: 26, 28, 29].

Selected Publications

Bhat, S., et al. [cite_start]"Clustering Trust Dynamics in a Human-Robot Sequential Decision-Making Task," IEEE Robotics and Automation Letters, 2022[cite: 45, 46].
Bhat, S., et al. [cite_start]"Evaluating the Impact of Personalized Value Alignment in Human-Robot Interaction," HRI '24[cite: 49].
Bhat, S., et al. [cite_start]"Value Alignment and Trust in Human-Robot Interaction," Springer Book Chapter, 2024[cite: 55, 56, 57].

Skills

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Languages: Python, C++ [cite: 63]

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Tools: Unreal Engine (4 & 5), ROS, Git, VS Code [cite: 26, 31, 64]

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Libraries: PyTorch, Scikit-learn, Pandas, NumPy, Farama Gymnasium [cite: 23, 64]