An in-depth experimental study of sensor usage and visual reasoning of robots navigating in real environments
Assem Sadek,Guillaume Bono,Boris Chidlovskii,Christian Wolf,Assem Sadek,Guillaume Bono,Boris Chidlovskii,Christian Wolf
Visual navigation by mobile robots is classically tackled through SLAM plus optimal planning, and more recently through end-to-end training of policies implemented as deep networks. While the former are often limited to waypoint planning, but have proven their efficiency even on real physical environments, the latter solutions are most frequently employed in simulation, but have been shown to be a...
