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Robotic navigation has been approached as a problem of 3D reconstruction and planning, as well as an end-to-end learning problem.
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J. McCormac, A. Handa, A. Davison, and S. Leutenegger, “Semanticfusion: Dense 3d semantic mapping with convolutional neural networks,” in 2017 IEEE International Conference on Robotics and Automation (ICRA) , 2017
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G. Kahn, A. Villaflor, B. Ding, P. Abbeel, and S. Levine, “Self-Supervised Deep RL with Generalized Computation Graphs for Robot Navigation,” in IEEE International Conference on Robotics and Automation (ICRA) , 2018
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N. Savinov, A. Dosovitskiy, and V. Koltun, “Semi-Parametric Topological Memory for Navigation,” in International Conference on Learning Representations , 2018
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2020
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2021
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2021
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