CELLO: A fast algorithm for Covariance Estimation. - William Vega-Brown; Abraham Bachrach; Adam Bry; Jonathan Kelly; Nicholas Roy (ICRA, 2013)

CELLO-EM: Adaptive sensor models without ground truth. - William Vega-Brown; Nicholas Roy (IROS, 2013)

Nonparametric Bayesian inference on multivariate exponential families. - William Vega-Brown; Marek Doniec; Nicholas Roy (NIPS, 2014)

Bayesian Learning for Safe High-Speed Navigation in Unknown Environments. - Charles Richter; William Vega-Brown; Nicholas Roy (ISRR (2), 2015)

PROBE-GK: Predictive robust estimation using generalized kernels. - Valentin Peretroukhin; William Vega-Brown; Nicholas Roy; Jonathan Kelly (ICRA, 2016)

Asymptotically Optimal Planning under Piecewise-Analytic Constraints. - William Vega-Brown; Nicholas Roy (WAFR, 2016)

Efficient Planning for Near-Optimal Compliant Manipulation Leveraging Environmental Contact. - Charlie Guan; William Vega-Brown; Nicholas Roy (ICRA, 2018)

Deep Inference for Covariance Estimation: Learning Gaussian Noise Models for State Estimation. - Katherine Liu; Kyel Ok; William Vega-Brown; Nicholas Roy (ICRA, 2018)

Sensor-Based Reactive Symbolic Planning in Partially Known Environments. - Vasileios Vasilopoulos; William Vega-Brown; Ömür Arslan; Nicholas Roy; Daniel E. Koditschek (ICRA, 2018)

Admissible Abstractions for Near-optimal Task and Motion Planning. - William Vega-Brown; Nicholas Roy (IJCAI, 2018)

Sensor-Based Reactive Execution of Symbolic Rearrangement Plans by a Legged Mobile Manipulator. - Vasileios Vasilopoulos; T. Turner Topping; William Vega-Brown; Nicholas Roy; Daniel E. Koditschek (IROS, 2018)

Task and Motion Planning Is PSPACE-Complete. - William Vega-Brown; Nicholas Roy (AAAI, 2020)

A Hierarchical Deliberative-Reactive System Architecture for Task and Motion Planning in Partially Known Environments. - Vasileios Vasilopoulos; Sebastian Castro; William Vega-Brown; Daniel E. Koditschek; Nicholas Roy (ICRA, 2022)

Technical Report: A Hierarchical Deliberative-Reactive System Architecture for Task and Motion Planning in Partially Known Environments. - Vasileios Vasilopoulos; Sebastian Castro; William Vega-Brown; Daniel E. Koditschek; Nicholas Roy (CoRR, 2022)