Planning, Fast and Slow: A Framework for Adaptive Real-Time Safe Trajectory Planning. - David Fridovich-Keil; Sylvia L. Herbert; Jaime F. Fisac; Sampada Deglurkar; Claire J. Tomlin (ICRA, 2018)

A Scalable Framework For Real-Time Multi-Robot, Multi-Human Collision Avoidance. - Andrea Bajcsy; Sylvia L. Herbert; David Fridovich-Keil; Jaime F. Fisac; Sampada Deglurkar; Anca D. Dragan; Claire J. Tomlin (ICRA, 2019)

Quantifying Hypothesis Space Misspecification in Learning From Human-Robot Demonstrations and Physical Corrections. - Andreea Bobu; Andrea Bajcsy; Jaime F. Fisac; Sampada Deglurkar; Anca D. Dragan (IEEE Trans. Robotics, 2020)

Visual Learning-based Planning for Continuous High-Dimensional POMDPs. - Sampada Deglurkar; Michael H. Lim; Johnathan Tucker; Zachary N. Sunberg; Aleksandra Faust; Claire J. Tomlin (CoRR, 2021)

Multi-Agent Reachability Calibration with Conformal Prediction. - Anish Muthali; Haotian Shen; Sampada Deglurkar; Michael H. Lim; Rebecca Roelofs; Aleksandra Faust; Claire J. Tomlin (CDC, 2023)

Compositional Learning-based Planning for Vision POMDPs. - Sampada Deglurkar; Michael H. Lim; Johnathan Tucker; Zachary N. Sunberg; Aleksandra Faust; Claire J. Tomlin (L4DC, 2023)

System-Level Analysis of Module Uncertainty Quantification in the Autonomy Pipeline. - Sampada Deglurkar; Haotian Shen; Anish Muthali; Marco Pavone 001; Dragos D. Margineantu; Péter Karkus; Boris Ivanovic; Claire J. Tomlin (CDC, 2024)