• Corpus ID: 227118806

Learning Synthetic to Real Transfer for Localization and Navigational Tasks

@article{Pietrantoni2020LearningST,
  title={Learning Synthetic to Real Transfer for Localization and Navigational Tasks},
  author={Maxime Pietrantoni and Boris Chidlovskii and Tomi Silander},
  journal={ArXiv},
  year={2020},
  volume={abs/2011.10274}
}
Autonomous navigation consists in an agent being able to navigate without human intervention or supervision, it affects both high level planning and low level control. Navigation is at the crossroad of multiple disciplines, it combines notions of computer vision, robotics and control. This work aimed at creating, in a simulation, a navigation pipeline whose transfer to the real world could be done with as few efforts as possible. Given the limited time and the wide range of problematic to be… 

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