Simulation-based lidar super-resolution for ground vehicles. - Tixiao Shan; Jinkun Wang; Fanfei Chen; Paul Szenher; Brendan J. Englot (Robotics Auton. Syst., 2020)

Zero-Shot Reinforcement Learning on Graphs for Autonomous Exploration Under Uncertainty. - Fanfei Chen; Paul Szenher; Yewei Huang; Jinkun Wang; Tixiao Shan; Shi Bai; Brendan J. Englot (ICRA, 2021)

DRACo-SLAM: Distributed Robust Acoustic Communication-efficient SLAM for Imaging Sonar Equipped Underwater Robot Teams. - John McConnell; Yewei Huang; Paul Szenher; Ivana Collado-Gonzalez; Brendan J. Englot (IROS, 2022)

Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment. - Xi Lin 006; Paul Szenher; John D. Martin; Brendan J. Englot (CoRR, 2023)

Mobile Manipulation Platform for Autonomous Indoor Inspections in Low-Clearance Areas. - Erik Pearson; Paul Szenher; Christine Huang; Brendan J. Englot (CoRR, 2023)

Real-Time Planning Under Uncertainty for AUVs Using Virtual Maps. - Ivana Collado-Gonzalez; John McConnell; Jinkun Wang; Paul Szenher; Brendan J. Englot (ICRA, 2024)

Large-Scale Dense 3D Mapping Using Submaps Derived From Orthogonal Imaging Sonars. - John McConnell; Ivana Collado-Gonzalez; Paul Szenher; Brendan J. Englot (CoRR, 2024)

Distributional Reinforcement Learning Based Integrated Decision Making and Control for Autonomous Surface Vehicles. - Xi Lin 006; Paul Szenher; Yewei Huang; Brendan J. Englot (IEEE Robotics Autom. Lett., 2025)