Learned Sampling Distributions for Efficient Planning in Hybrid Geometric and Object-Level Representations. - Katherine Liu; Martina Stadler; Nicholas Roy (ICRA, 2020)

Online High-Level Model Estimation for Efficient Hierarchical Robot Navigation. - Martina Stadler; Katherine Liu; Nicholas Roy (IROS, 2021)

Approximating the Value of Collaborative Team Actions for Efficient Multiagent Navigation in Uncertain Graphs. - Martina Stadler; Jacopo Banfi; Nicholas Roy (ICAPS, 2023)

A Sampling-Based Approach for Heterogeneous Coalition Scheduling with Temporal Uncertainty. - Andrew Messing; Jacopo Banfi; Martina Stadler; Ethan Stump; Harish Ravichandar; Nicholas Roy; Seth Hutchinson 001 (Robotics: Science and Systems, 2023)

Generating Sparse Probabilistic Graphs for Efficient Planning in Uncertain Environments. - Yasmin Veys; Martina Stadler Kurtz; Nicholas Roy (ICRA, 2024)

Real-World Deployment of a Hierarchical Uncertainty-Aware Collaborative Multiagent Planning System. - Martina Stadler; Samuel Prentice; Yasmin Veys; Long Quang; Carlos Nieto-Granda; Michael Novitzky; Ethan Stump; Nicholas Roy (CoRR, 2024)