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Visualisation of Path-Planning
Vozák, Petr ; Orság, Filip (referee) ; Rozman, Jaroslav (advisor)
This thesis deals with sampling-based algorithms for nonholonomic (mainly car robot) and flexible robot path planning. Theoretical principles of probabilistic path finding and its implementation detail are discussed here. Java applets for visualization of algorithms and web pages are include on the CD.
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Path Planning in 3D Space
Němec, František ; Samek, Jan (referee) ; Rozman, Jaroslav (advisor)
This paper deals with the problem of object path planning in 3D space. The goal is to create program which allows users to create a scene used for path planning, perform the planning and finally visualize path in the scene. Work is focused on probabilistic algorithms that are described in the theoretical part. The practical part describes the design and implementation of application. Finally, several experiments are performed to compare the performance of different algorithms and demonstrate the functionality of the program.
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Visualisation of Path-Finding for Robot
Kvasnica, Miroslav ; Orság, Filip (referee) ; Rozman, Jaroslav (advisor)
This thesis deals with sampling-based algorithms for robot path planning. Theoretical principles of probabilistic path finding and its implementation details are discussed here. The second part focuses on individual algorithms - PRM, EST, RRT and SRT and its modifications. Java applets for visualisation of algorithms and web pages related with sampling-based algorithms are included on the CD.
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Path Planning in 3D Space
Krčmář, Radim ; Janoušek, Vladimír (referee) ; Rozman, Jaroslav (advisor)
Following thesis presents basics of motion planning, focusing on sampling-based algorithms. System for collision of objects in arbitrary dimensional space is created using linear algebra. Basic options for visualizaton of three-dimensional data are described. Selected algoritms were implemented in haskell and used to pull hedgehog out of the cage (popular disentanglement puzzle in Czech Republic).
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Path Planning in 3D Space
Němec, František ; Samek, Jan (referee) ; Rozman, Jaroslav (advisor)
This paper deals with the problem of object path planning in 3D space. The goal is to create program which allows users to create a scene used for path planning, perform the planning and finally visualize path in the scene. Work is focused on probabilistic algorithms that are described in the theoretical part. The practical part describes the design and implementation of application. Finally, several experiments are performed to compare the performance of different algorithms and demonstrate the functionality of the program.
|
|
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Path Planning in 3D Space
Krčmář, Radim ; Janoušek, Vladimír (referee) ; Rozman, Jaroslav (advisor)
Following thesis presents basics of motion planning, focusing on sampling-based algorithms. System for collision of objects in arbitrary dimensional space is created using linear algebra. Basic options for visualizaton of three-dimensional data are described. Selected algoritms were implemented in haskell and used to pull hedgehog out of the cage (popular disentanglement puzzle in Czech Republic).
|
|
|
Visualisation of Path-Finding for Robot
Kvasnica, Miroslav ; Orság, Filip (referee) ; Rozman, Jaroslav (advisor)
This thesis deals with sampling-based algorithms for robot path planning. Theoretical principles of probabilistic path finding and its implementation details are discussed here. The second part focuses on individual algorithms - PRM, EST, RRT and SRT and its modifications. Java applets for visualisation of algorithms and web pages related with sampling-based algorithms are included on the CD.
|
|
|
Visualisation of Path-Planning
Vozák, Petr ; Orság, Filip (referee) ; Rozman, Jaroslav (advisor)
This thesis deals with sampling-based algorithms for nonholonomic (mainly car robot) and flexible robot path planning. Theoretical principles of probabilistic path finding and its implementation detail are discussed here. Java applets for visualization of algorithms and web pages are include on the CD.
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