A New Global Path Planning Strategy for Mobile Robots Using Hierarchical Topology Map and Safety-Aware Navigation Speed*

Author(s):  
Jeong-woo Han ◽  
Soo Jeon ◽  
Hyock-Ju Kwon
10.5772/5787 ◽  
2005 ◽  
Vol 2 (3) ◽  
pp. 21
Author(s):  
Kristo Heero ◽  
Alvo Aabloo ◽  
Maarja Kruusmaa

This paper examines path planning strategies in partially unknown dynamic environemnts and introduces an approach to learning innovative routes. The approach is verified against shortest path planning with a distance transform algorithm, local and global replanning and suboptimal route following in unknown, partially unknown, static and dynamic environments. We show that the learned routes are more reliable and when traversed repeatedly the robot's behaviour becomes more predictable. The test results also suggest that the robot's behaviour depends on knowledge about the environemnt but not about the path planning strategy used.


2018 ◽  
Vol 30 (2) ◽  
pp. e1864
Author(s):  
Cumhur Yigit Ozcan ◽  
Ebru Akcapinar Sezer ◽  
Murat Haciomeroglu

10.5772/58543 ◽  
2014 ◽  
Vol 11 (7) ◽  
pp. 94 ◽  
Author(s):  
Imen Châari ◽  
Anis Koubâa ◽  
Sahar Trigui ◽  
Hachemi Bennaceur ◽  
Adel Ammar ◽  
...  

2017 ◽  
Vol 10 (14) ◽  
pp. 1-6 ◽  
Author(s):  
Fernando Martinez Santa ◽  
Edwar Jacinto Gomez ◽  
Holman Montiel Ariza ◽  
◽  
◽  
...  

2013 ◽  
Vol 46 (11) ◽  
pp. 1982-1993 ◽  
Author(s):  
Zexuan Zhu ◽  
Fangxiao Wang ◽  
Shan He ◽  
Yiwen Sun

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