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Robot path planning by means of swarm intelligence
Schimitzek, Aleš ; Krček, Petr (referee) ; Dvořák, Jiří (advisor)
This diploma thesis deals with the path planning by swarm intelligence. In the theoretical part it describes the best known methods of swarm intelligence (Ant Colony Optimization, Bee Swarm Optimization, Firefly Swarm Optimization and Particle Swarm Optimization) and their application for path planning. In the practical part particle swarm optimization is selected for the design and implementation of path planning in the C#.
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Robot path planning by means of reinforcement learning
Veselovský, Michal ; Liška, Radovan (referee) ; Dvořák, Jiří (advisor)
This thesis is dealing with path planning for autonomous robot in enviromenment with static obstacles. Thesis includes analysis of different approaches for path planning, description of methods utilizing reinforcement learning and experiments with them. Main outputs of thesis are working algorithms for path planning based on Q-learning, verifying their functionality and mutual comparison.
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Advanced Robot Path Planning (RRT)
Knispel, Lukáš ; Kuba,, Martin (referee) ; Matoušek, Radomil (advisor)
Tato diplomová práce práce se zabývá plánováním cesty všesměrového mobilního robotu pomocí algoritmu RRT (Rapidly-exploring Random Tree – Rychle rostoucí náhodný strom). Teoretická část popisuje základní algoritmy plánování cesty a prezentuje bližší pohled na RRT a jeho potenciál. Praktická část práce řeší návrh a tvorbu v zásadě multiplatformní C++ aplikace v prostředí Windows 7 za použití aplikačního frameworku Qt 4.8.0, která implementuje pokročilé RRT algoritmy s parametrizovatelným řešičem a speciálním dávkovým režimem. Tento mód slouží k testování efektivnosti nastavení řešiče pro dané úlohy a je založen na post-processingu a vizualizaci výstupu měřených úloh pomocí jazyka Python. Vypočtené cesty mohou být vylepšeny pomocí zkracovacích algoritmů a výsledná trajektorie odeslána do pohonů Maxon Compact Drive všesměrové mobilní platformy pomocí CANopen. Aplikace klade důraz na moderní grafické uživatelské rozhraní se spolehlivým a výkonným 2D grafickým engine.
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Mobile robot path planning by means of ant algorithms
Sedlák, Václav ; Šoustek, Petr (referee) ; Dvořák, Jiří (advisor)
This thesis deals with robot path planning by means of ant colony optimization algorithms. The theoretical part of this thesis introduces basics of path planning problematics. The theoretical part either deals with ant algorithms as optimization and path planning tools. The practical part deals with design and implementation of path planning by means of ant algorithms in Java language.
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Robot navigation by means of graph-based algorithms
Čížek, Lubomír ; Krček, Petr (referee) ; Dvořák, Jiří (advisor)
This thesis deals with robot path planning by means of graph-based algorithms. The theoretical part contains basic approaches to robot path planning, and pay closer look at various methods of graph-based algorithms. In the second part of this thesis a simulation environment for robot navigation was created in C#. And in this environment chosen methods of graph-based algorithms have been implemented. This thesis was written within the research project MSM 0021630529: Intelligent systems in automation.
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Design of path planning library for mobile robot
Novotný, Michal ; Marada, Tomáš (referee) ; Věchet, Stanislav (advisor)
This thesis deals with analyses of problems of path planning by means Rapidly-exploring Random Trees (RRT) algorithm. The teoretic part described of basic terms and navigation mobile robots. There are localization, mapping and path planning parts of navigation. Then it is description overview of localization of methods and overview of robot path planning methods. The practical describes implementation of proposed method in Delphi. The best method for path planning of robot using RRT algorithm. For reservation universal communications interface is application creation like dynamic library.
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Robot Path Planning (RRT)
Knispel, Lukáš ; Matoušek, Radomil (advisor)
This thesis deals with path plannig of omnidirectional mobile robot using the RRT algorithm (Rapidly-exploring Random Tree). Theoretical part also describes basic algorithms of path planning and presents closer view on RRT and its potential. Practical part deals with designing and creation of C++ linux application in Ubuntu 9.10 environment with Qt 4.6 application framework, which implements advanced RRT algorithm with user-programmable solver and batch mode in order to test efectivity of solver on given tasks.
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Robot path planning by means of ant systems
Sedlák, Václav ; Krček, Petr (referee) ; Dvořák, Jiří (advisor)
This thesis deals with robot path planning by means of ant systems. The theoretical part contains an introduction to the path planning of mobile robots and an introduction to ant systems as optimization and path planning tool. The practical part deals with design and program implementation of path planning by ant systems in Borland Delphi 7 environment.
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