activity
20192026
most citedMachine Learning for Generalizable Prediction of Flood Susceptibility

5 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2026

Validation of Space Robotics in Underwater Environments via Disturbance Robustness Equivalency

Joris Verhagen, Elias Krantz, Chelsea Sidrane +9

We present an experimental validation framework for space robotics that leverages underwater environments to approximate microgravity dynamics. While neutral buoyancy conditions ma…

cs.AI2025

BURNS: Backward Underapproximate Reachability for Neural-Feedback-Loop Systems

Chelsea Sidrane, Jana Tumova

Learning-enabled planning and control algorithms are increasingly popular, but they often lack rigorous guarantees of performance or safety. We introduce an algorithm for computing…

cs.RO2024

Efficient Non-Myopic Layered Bayesian Optimization For Large-Scale Bathymetric Informative Path Planning

Alexander Kiessling, Ignacio Torroba, Chelsea Rose Sidrane +3

Informative path planning (IPP) applied to bathymetric mapping allows AUVs to focus on feature-rich areas to quickly reduce uncertainty and increase mapping efficiency. Existing me…

eess.SY2024

TTT: A Temporal Refinement Heuristic for Tenuously Tractable Discrete Time Reachability Problems

Chelsea Sidrane, Jana Tumova

Reachable set computation is an important tool for analyzing control systems. Simulating a control system can show general trends, but a formal tool like reachability analysis can…

cs.LG2019★ 5 cited

Machine Learning for Generalizable Prediction of Flood Susceptibility

Chelsea Sidrane, Dylan J Fitzpatrick, Andrew Annex +3

Flooding is a destructive and dangerous hazard and climate change appears to be increasing the frequency of catastrophic flooding events around the world. Physics-based flood model…