scholarly journals A Study of Six Degrees of Freedom Welding Robot Path Planning Based on Genetic Algorithms

2015 ◽  
Author(s):  
Haiming Shen ◽  
Qian Kang ◽  
Xiaofeng Yuan
Keyword(s):  
Genetic Algorithms ◽  
Path Planning ◽  
Degrees Of Freedom ◽  
Welding Robot ◽  
Robot Path Planning ◽  
Six Degrees Of Freedom ◽  
Robot Path

Path Planning in a Mobile Robot

2019 ◽  
pp. 582-608
Author(s):  
Diego Alexander Tibaduiza Burgos ◽  
Maribel Anaya Vejar
Keyword(s):  
Genetic Algorithms ◽  
Path Planning ◽  
Mobile Robot ◽  
Fitness Function ◽  
Experimental Setup ◽  
Robot Path Planning ◽  
Natural Evolution ◽  
On Line ◽  
Planning Problems ◽  
Robot Path

This chapter presents the development and implementation of three approaches that contribute to solving the mobile robot path planning problems in dynamic and static environments. The algorithms include some items regarding the implementation of on-line and off-line situations in an environment with static and mobile obstacles. A first technique involves the use of genetic algorithms where a fitness function and the emulation of the natural evolution are used to find a free-collision path. The second and third techniques consider the use of potential fields for path planning using two different ways. Brief descriptions of the techniques and experimental setup used to test the algorithms are also included. Finally, the results applying the algorithms using different obstacle configurations are presented and discussed.

Path Planning in a Mobile Robot

2013 ◽  
pp. 123-147
Author(s):  
Diego Alexander Tibaduiza Burgos ◽  
Maribel Anaya Vejar
Keyword(s):  
Genetic Algorithms ◽  
Path Planning ◽  
Mobile Robot ◽  
Fitness Function ◽  
Experimental Setup ◽  
Robot Path Planning ◽  
Natural Evolution ◽  
On Line ◽  
Planning Problems ◽  
Robot Path

This chapter presents the development and implementation of three approaches that contribute to solving the mobile robot path planning problems in dynamic and static environments. The algorithms include some items regarding the implementation of on-line and off-line situations in an environment with static and mobile obstacles. A first technique involves the use of genetic algorithms where a fitness function and the emulation of the natural evolution are used to find a free-collision path. The second and third techniques consider the use of potential fields for path planning using two different ways. Brief descriptions of the techniques and experimental setup used to test the algorithms are also included. Finally, the results applying the algorithms using different obstacle configurations are presented and discussed.

Research on Welding Robot Path Planning Using Ant Colony Optimization

2011 ◽  
Vol 201-203 ◽  
pp. 1926-1929
Author(s):  
Jia Hai Wang ◽  
Rui Heng Xiao ◽  
Yun Lei Ma
Keyword(s):  
Path Planning ◽  
Ant Colony Optimization ◽  
Production Line ◽  
Ant Colony ◽  
Welding Robot ◽  
Robot Path Planning ◽  
Robot Path

The path planning is one core aspect of the research of robotics. In order to solve the problem that the welding robot path planning in the production line of BIW is inefficient, this paper analyzes the problem of the welding robot path planning and abstracts it into the TSP model. Finally, the optimal welding path is calculated using Ant Colony Optimization (ACO) based on the MATLAB7.0 environment. The result shows that this algorithm is an accurate and effective tool for welding path planning.

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