no code implementations • 11 May 2021 • Fanfei Chen, Paul Szenher, Yewei Huang, Jinkun Wang, Tixiao Shan, Shi Bai, Brendan Englot
An agent can use domain knowledge provided by human experts to learn efficiently.
1 code implementation • 24 Jul 2020 • Fanfei Chen, John D. Martin, Yewei Huang, Jinkun Wang, Brendan Englot
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 in real-time; it must choose sensing actions that both curb localization uncertainty and achieve information gain.
1 code implementation • arXiv 2020 • Tixiao Shan, Jinkun Wang, Fanfei Chen, Paul Szenher, Brendan Englot
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 apparent resolution of a physical lidar.
Robotics Image and Video Processing
no code implementations • 2 Oct 2018 • John Martin, Jinkun Wang, Brendan Englot
Our results show SPGP-SARSA can outperform the state-of-the-art sparse method, replicate the prediction quality of its exact counterpart, and be applied to solve underwater navigation tasks.