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Career

· Ph.D. student in Electrical Engineering and Computer Science, University of California, Berkeley2020–
· Teaching Assistant in Machine Learning, Control Systems, Linear System Theory, and Optimization, University of California, Berkeley2020–

Publications (7)

Planning, Fast and Slow: A Framework for Adaptive Real-Time Safe Trajectory Planning
IEEE International Conference on Robotics and Automation · 2017
90
cited
A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance
IEEE International Conference on Robotics and Automation · 2018
71
cited
Multi-Agent Reachability Calibration with Conformal Prediction
IEEE Conference on Decision and Control · 2023
45
cited
Quantifying Hypothesis Space Misspecification in Learning From Human–Robot Demonstrations and Physical Corrections
IEEE Transactions on robotics · 2020
42
cited
Compositional Learning-based Planning for Vision POMDPs
Conference on Learning for Dynamics & Control · 2021
6
cited
Visual Learning-based Planning for Continuous High-Dimensional POMDPs
arXiv.org · 2021
3
cited
System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline
IEEE Conference on Decision and Control · 2024
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Sampada Deglurkar | Researcher Profile | Sotabase | Sotabase