scholarly journals A novel learning-based global path planning algorithm for planetary rovers

2019 ◽  
Vol 361 ◽  
pp. 69-76 ◽  
Author(s):  
Jiang Zhang ◽  
Yuanqing Xia ◽  
Ganghui Shen
Keyword(s):  
Path Planning ◽  
Planetary Rovers ◽  
Global Path Planning ◽  
Planning Algorithm ◽  
Path Planning Algorithm

A Global Path Planning Algorithm for AGV Based on the Shapefile Vectorgraph

2014 ◽  
Vol 889-890 ◽  
pp. 1117-1120
Author(s):  
Li Fei Song ◽  
Ming Rui Tang ◽  
Nan Li
Keyword(s):  
Path Planning ◽  
Planning Period ◽  
Global Path Planning ◽  
Planning Algorithm ◽  
Path Planning Algorithm

The paper presents a global path planning algorithm for AGV based on shapefile vectorgrath in order to meet the requirements of future manufacturing factory for automation and intelligentialize.The algorithm could distinguish different barriers but not just recognize there is a barrier or not. and the adoption of shapefile vectorgrath makes it possible not to rasterize the map or simplify the obstacles during the global path planning period. Simulation result shows the feasibility of the algorithm.

Slip Pridiction Based Path Planning for Planetary Rovers

2011 ◽  
Vol 267 ◽  
pp. 382-385
Author(s):  
Lan Feng Zhou
Keyword(s):  
Path Planning ◽  
Autonomous Navigation ◽  
Planetary Rover ◽  
Planetary Rovers ◽  
Navigation Algorithm ◽  
Planning Algorithm ◽  
Path Planning Algorithm

Most methods of path planning for planetary rovers were designed for fairly benign terrain and do not account for potential slippage . Though the TANav system addresses slip prediction issue,it does not integrate directional slip prediction into the path planning algorithm.This paper presents an autonomous navigation algorithm for planetary rover based on slip pridiction. This method does integrate directional slip prediction into the path planning algorithm resolving the essue of emerging higher-level behaviors such as planning a path with switch-backs up a slope. The result of simulation demonstrates that this method is effective.

A Path-Planning Algorithm for AGV Based on the Combination between Ant Colony Algorithm and Immune Regulation

2011 ◽  
Vol 422 ◽  
pp. 3-9 ◽  
Author(s):  
Jian Zhong Huang ◽  
Yu Wan Cen
Keyword(s):  
Path Planning ◽  
Immune Regulation ◽  
Ant Colony Algorithm ◽  
Visibility Graph ◽  
Ant Colony ◽  
Environment Modeling ◽  
Environment Model ◽  
Global Path Planning ◽  
Planning Algorithm ◽  
Path Planning Algorithm

For the demand of AGV’s environment modeling and path-planning,the paper discusses how to establish static environment model of visibility graph and proposes a visibility table method.Moreover,based on the environment modeling,we put forward a new kind of global path-planning algorithm by the combination between ant colony algorithm and immune regulation.

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