Information-theoretic exploration with Bayesian optimization. - Shi Bai; Jinkun Wang; Fanfei Chen; Brendan J. Englot (IROS, 2016)

Toward autonomous mapping and exploration for mobile robots through deep supervised learning. - Shi Bai; Fanfei Chen; Brendan J. Englot (IROS, 2017)

Autonomous Exploration Under Uncertainty via Graph Convolutional Networks. - Fanfei Chen; Jinkun Wang; Tixiao Shan; Brendan J. Englot (ISRR, 2019)

Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs. - Fanfei Chen; John D. Martin; Yewei Huang; Jinkun Wang; Brendan J. Englot (IROS, 2020)

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)

Virtual Maps for Autonomous Exploration of Cluttered Underwater Environments. - Jinkun Wang; Fanfei Chen; Yewei Huang; John McConnell; Tixiao Shan; Brendan J. Englot (CoRR, 2022)

DiSCo-SLAM: Distributed Scan Context-Enabled Multi-Robot LiDAR SLAM With Two-Stage Global-Local Graph Optimization. - Yewei Huang; Tixiao Shan; Fanfei Chen; Brendan J. Englot (IEEE Robotics Autom. Lett., 2022)

Overhead Image Factors for Underwater Sonar-Based SLAM. - John McConnell; Fanfei Chen; Brendan J. Englot (IEEE Robotics Autom. Lett., 2022)

Decentralized Multi-Robot Navigation for Autonomous Surface Vehicles with Distributional Reinforcement Learning. - Xi Lin 006; Yewei Huang; Fanfei Chen; Brendan J. Englot (ICRA, 2024)