2 citations · 3 across the 3 of their papers we have counts for
5 papers · 1 filter
Real-Time Planning Under Uncertainty for AUVs Using Virtual Maps
Ivana Collado-Gonzalez, John McConnell, Jinkun Wang +2
Reliable localization is an essential capability for marine robots navigating in GPS-denied environments. SLAM, commonly used to mitigate dead reckoning errors, still fails in feat…
Virtual Maps for Autonomous Exploration of Cluttered Underwater Environments
Jinkun Wang, Fanfei Chen, Yewei Huang +3
We consider the problem of autonomous mobile robot exploration in an unknown environment, taking into account a robot's coverage rate, map uncertainty, and state estimation uncerta…
Zero-Shot Reinforcement Learning on Graphs for Autonomous Exploration Under Uncertainty
Fanfei Chen, Paul Szenher, Yewei Huang +4
This paper studies the problem of autonomous exploration under localization uncertainty for a mobile robot with 3D range sensing. We present a framework for self-learning a high-pe…
Autonomous Exploration Under Uncertainty via Deep Reinforcement Learning on Graphs
Fanfei Chen, John D. Martin, Yewei Huang +2
We consider an autonomous exploration problem in which a range-sensing mobile robot is tasked with accurately mapping the landmarks in an a priori unknown environment efficiently i…
Simulation-based Lidar Super-resolution for Ground Vehicles
Tixiao Shan, Jinkun Wang, Fanfei Chen +2
We propose a methodology for lidar super-resolution with ground vehicles driving on roadways, which relies completely on a driving simulator to enhance, via deep learning, the appa…