Path Planning Algorithm for Robot in 3D Environment Based on Neural Network

2008 ◽  
pp. 1081-1088 ◽  
Author(s):  
Jianli Yu ◽  
Qifeng Zhang ◽  
Valeri Kroumov ◽  
Siya Cheng ◽  
Zongwei Zhang
Keyword(s):  
Neural Network ◽  
Path Planning ◽  
3D Environment ◽  
Planning Algorithm ◽  
Path Planning Algorithm

On Stereoscopic Machine Vision with Limited Horizons

2014 ◽  
Vol 538 ◽  
pp. 383-386
Author(s):  
Yu Min Chen ◽  
Xiao Li Wang ◽  
Chen Zhang ◽  
Xian Min Meng
Keyword(s):  
Machine Learning ◽  
Path Planning ◽  
Machine Learning Method ◽  
Learning Method ◽  
3D Vision ◽  
3D Environment ◽  
3D Terrain ◽  
Planning Algorithm ◽  
Pass Through ◽  
Path Planning Algorithm

This paper provides a path planning algorithm based on model that contains 3D vision data. Using this model and a six-legged platform, we propose that limited vision field should be considered in a path planning of 3D vision robot. We also give out a machine learning method to analysis a robot's obstacle capacity, and formed vector to measure it. Based on the model, we designed an algorithm that allow robot to navigate in 3D environment. Observation on its behavior proof that our algorithm and model will allow a robot to pass through random 3D terrain.

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