scholarly journals A Novel Implementation of G-Fuzzy Logic Controller Algorithm on Mobile Robot Motion Planning Problem

2011 ◽  
Vol 4 (2) ◽  
Author(s):  
Seyyed Mohammad Reza Farshchi ◽  
Seyyede Aliye NezhadHoseini ◽  
Fateme Mohammadi
Keyword(s):  
Fuzzy Logic ◽  
Mobile Robot ◽  
Motion Planning ◽  
Fuzzy Logic Controller ◽  
Robot Motion ◽  
Planning Problem ◽  
Robot Motion Planning ◽  
Motion Planning Problem

Extending RRT for Robot Motion Planning with SLAM

2012 ◽  
Vol 151 ◽  
pp. 493-497 ◽  
Author(s):  
Hai Zhu Pan ◽  
Jin Xue Zhang
Keyword(s):  
Genetic Algorithms ◽  
Mobile Robot ◽  
Motion Planning ◽  
Cell Decomposition ◽  
Potential Fields ◽  
Robot Motion ◽  
Planning Problem ◽  
Robot Motion Planning ◽  
The Past ◽  
Road Maps

In this paper,the motion planning problem for mobile robot is addressed. Motion planning (MP) has diversified over the past few decades to include many different approaches such as cell decomposition, road maps, potential fields, and genetic algorithms. Often the goal of motion planning is not just obstacle avoidance but optimization of certain parameters as well. A motion planning algorithms based on Rapidly-exploring random Tree(RRT) is present in the paper. Then the RRT algorithm has been extended which combines the SLAM algorithm.The Extend-RRT-SLAM has been simulated in MobileSim.Simulation results show Extend-RRT-SLAM to be very effective for robot motion planning.

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