A comparative analysis of three most commonly used path planning algorithms, i.e. A* Algorithm, Genetic Algorithm and Ant Colony Optimization, is presented in this book. The algorithm simulations are compared based upon their performance in terms of Path length, Execution time and Error norm. The simulation results are validated with the support of experimental results, obtained using a mobile robot built especially for this purpose. This analysis, supported by the simulation and experimental results, helps in the selection of the best path planning algorithms for various applications.
A comparative analysis of three most commonly used path planning algorithms, i.e. A* Algorithm, Genetic Algorithm and Ant Colony Optimization, is presented in this book. The algorithm simulations are compared based upon their performance in terms of Path length, Execution time and Error norm. The simulation results are validated with the support of experimental results, obtained using a mobile robot built especially for this purpose. This analysis, supported by the simulation and experimental results, helps in the selection of the best path planning algorithms for various applications.
The book includes topics, such as: path planning, avoiding obstacles, following the path, go-to-goal control, localization, and visual-based motion control. The theoretical concepts are...
Alexander Reiter describes optimal path and trajectory planning for serial robots in general, and rigorously treats the challenging application of path tracking for kinematically redundant...
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