Scaling Local Control to Large-Scale Topological Navigation
Xiangyun Meng,Nathan Ratliff,Yu Xiang,Dieter Fox,Xiangyun Meng,Nathan Ratliff,Yu Xiang,Dieter Fox
Visual topological navigation has been revitalized recently thanks to the advancement of deep learning that substantially improves robot perception. However, the scalability and reliability issue remain challenging due to the complexity and ambiguity of real world images and mechanical constraints of real robots. We present an intuitive approach to show that by accurately measuring the capability ...
