2 citations · 7 across the 9 of their papers we have counts for
11 papers
Framework for an AI-Ready ARPES Community Database
Zhi-Xun Shen, Jin Gene Wong, Karen Lei +41
Condensed matter stands to gain profoundly from widespread adoption of artificial intelligence (AI). However, its current means of data organization impedes this endeavor. As a pre…
Above and Below: Heterogeneous Multi-robot SLAM Across Surface and Underwater Domains
John McConnell, Armon Shariati, Paul Szenher +1
Multi-robot simultaneous localization and mapping (SLAM) is a fundamental task in multi-robot operations. Robots must have a common understanding of their location and that of thei…
Opti-Acoustic Scene Reconstruction in Highly Turbid Underwater Environments
Ivana Collado-Gonzalez, John McConnell, Paul Szenher +1
Scene reconstruction is an essential capability for underwater robots navigating in close proximity to structures. Monocular vision-based reconstruction methods are unreliable in t…
Distributional Reinforcement Learning based Integrated Decision Making and Control for Autonomous Surface Vehicles
Xi Lin, Paul Szenher, Yewei Huang +1
With the growing demands for Autonomous Surface Vehicles (ASVs) in recent years, the number of ASVs being deployed for various maritime missions is expected to increase rapidly in…
Large-Scale Dense 3D Mapping Using Submaps Derived From Orthogonal Imaging Sonars
John McConnell, Ivana Collado-Gonzalez, Paul Szenher +1
3D situational awareness is critical for any autonomous system. However, when operating underwater, environmental conditions often dictate the use of acoustic sensors. These acoust…
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…
Mobile Manipulation Platform for Autonomous Indoor Inspections in Low-Clearance Areas
Erik Pearson, Paul Szenher, Christine Huang +1
Mobile manipulators have been used for inspection, maintenance and repair tasks over the years, but there are some key limitations. Stability concerns typically require mobile plat…
Robust Route Planning with Distributional Reinforcement Learning in a Stochastic Road Network Environment
Xi Lin, Paul Szenher, John D. Martin +1
Route planning is essential to mobile robot navigation problems. In recent years, deep reinforcement learning (DRL) has been applied to learning optimal planning policies in stocha…
DRACo-SLAM: Distributed Robust Acoustic Communication-efficient SLAM for Imaging Sonar Equipped Underwater Robot Teams
John McConnell, Yewei Huang, Paul Szenher +2
An essential task for a multi-robot system is generating a common understanding of the environment and relative poses between robots. Cooperative tasks can be executed only when a…
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…
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…