scholarly journals Applied Imitation Learning for Autonomous Navigation in Complex Natural Terrain

Author(s):  
David Silver ◽  
J. Andrew Bagnell ◽  
Anthony Stentz
2020 ◽  
Vol 10 (3) ◽  
pp. 1140 ◽  
Author(s):  
Jorge L. Martínez ◽  
Mariano Morán ◽  
Jesús Morales ◽  
Alfredo Robles ◽  
Manuel Sánchez

Autonomous navigation of ground vehicles on natural environments requires looking for traversable terrain continuously. This paper develops traversability classifiers for the three-dimensional (3D) point clouds acquired by the mobile robot Andabata on non-slippery solid ground. To this end, different supervised learning techniques from the Python library Scikit-learn are employed. Training and validation are performed with synthetic 3D laser scans that were labelled point by point automatically with the robotic simulator Gazebo. Good prediction results are obtained for most of the developed classifiers, which have also been tested successfully on real 3D laser scans acquired by Andabata in motion.


2021 ◽  
Author(s):  
Lei Qin ◽  
Zefan Huang ◽  
Chen Zhang ◽  
Hongliang Guo ◽  
Marcelo Ang ◽  
...  

Author(s):  
Vladimir T. Minligareev ◽  
Elena N. Khotenko ◽  
Vadim V. Tregubov ◽  
Tatyana V. Sazonova ◽  
Vaclav L. Kravchenok

Author(s):  
Jesse Berger ◽  
Cory Carson ◽  
Massood Towhidnejad ◽  
Richard Stansbury

2016 ◽  
Vol 4 (3) ◽  
Author(s):  
V.V. Kouprianov ◽  
S.D. Tsekmeister ◽  
A.V. Bakholdin ◽  
G.V. Levko ◽  
M.S. Chubey ◽  
...  

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