Self-learning Mobile Robot Navigation in Unknown Environment Using Evolutionary Learning

@article{Algabri2014SelflearningMR,
  title={Self-learning Mobile Robot Navigation in Unknown Environment Using Evolutionary Learning},
  author={Mohammed Algabri and Hassan Mathkour and Ramdane Hedjar and Mansour Alsulaiman and Khalid Al Mutib},
  journal={J. Univers. Comput. Sci.},
  year={2014},
  volume={20},
  pages={1459-1468}
}
An autonomous mobile robot operating in an unstructured environment must be able to learn with dynamic changes to that environment. Learning navigation and control of mobile robot in an unstructured environment is one of the most challenging problems. Fuzzy logic control is a useful tool in the field of navigation of mobile robot. In this research, we optimized a performance of fuzzy logic controller by evolutionary learning technique. Two proposed approaches have been designed and implemented… 
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9 Citations
Background Citations
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Methods Citations
3

9 Citations

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Mobile Robot Navigation in Static and Dynamic Environments using Various Soft Computing Techniques
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The performances of Wind Drivenoptimization algorithm and Fuzzy-Wind Driven Optimization algorithm are found to be most efficient (in terms of path length and navigation time) as compared to rest of the techniques, which verifies the effectiveness and efficiency of these newly built techniques for mobile robot navigation.
Mobile Robot Navigation and Obstacle Avoidance Techniques: A Review
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The present article focuses on the study of the intelligent navigation techniques, which are capable of navigating a mobile robot autonomously in static as well as dynamic environments.
A comprehensive study for robot navigation techniques
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An effort has been made to study several navigation techniques, which are well suited for the static and dynamic environment and can be implemented for real-time navigation of mobile robot.
Multilayer Decision-Based Fuzzy Logic Model to Navigate Mobile Robot in Unknown Dynamic Environments
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The prediction and priority rules of a multilayer decision are used by the fuzzy logic controller to improve the quality of the next position with regard to its path length, safety, and runtime in this study.
Multiple Robot Path Planning Algorithms for Static Environment and Dynamic Environment: A Review
TLDR
This paper gives a point by point review and examination of different path planning calculation alongside proficient mapping, time estimation, pursuit and save, speediest way and so on.
Wireless vision-based fuzzy controllers for moving object tracking using a quadcopter
TLDR
This research investigates the use of unmanned aerial vehicle technology for crowd monitoring during Hajj and it could also be used for border surveillance to monitor Saudi Arabia’s borders.
Memetic computing through bio-inspired heuristics integration with sequential quadratic programming for nonlinear systems arising in different physical models
TLDR
Accuracy and convergence of the memetic computing GA-SQP is found better in each case of the simulation study and effectiveness of the scheme is further established through results of statistics based on different performance indices for accuracy and complexity.
Mobile Robot Navigation in Cluttered Environment Using Spider Monkey Optimization Algorithm
TLDR
Application and implementation of spider monkey optimization (SMO) along with Three Path method (TPM) for mobile robot navigation in cluttered environment and the finding of global and local leaders from the groups is the key concept of the proposed method.

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