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Docking Station for Automatic Charging of Batteries of Robot
Beran, Jan ; Janoušek, Vladimír (referee) ; Rozman, Jaroslav (advisor)
The aim of this thesis is to create a functional docking and charging system for the Trilobot robot, which is improved and modified for use in future projects as a part of this thesis. The theoretical part discusses the path planning methods, battery types and charging methods, types of docking stations and the charging method itself. Also, a robot refurbishment design is presented, which is then implemented, along with the docking station. The refurbished robot has functional control software in the ROS framework, which allows it to perform not only the task of autonomous battery charging. In this thesis, a test of the whole system is also performed and the results are evaluated.
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PLC Control of Mobile Robotics Platform
Konečný, Michael ; Lang, Stanislav (referee) ; Matoušek, Radomil (advisor)
The aim of this master's thesis was to create a design for a prototype of a mobile robotic platform and its physical fabrication. Another goal of this master's thesis was to develop a control algorithm and its implementation into a prototype. In addition, the thesis was extended by an autonomous motion mode, an algorithm for robot path planning, and the design of the Human Machine Interface (HMI). The introduction contains a description of some already created mobile robotic platforms, a presentation of the company B&R and the theory needed to understand omnidirectional mobility. The next chapters describe the design and construction of a prototype with a selection of electronic components and their wiring, implementation of an algorithm for robot path planning, implementation of a control algorithm and design, together with the implementation of the user environment. At the end of this master's thesis, the possibilities of extending the project to future years are described.
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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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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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Optimal path planning for electric vehicles
Horák, Filip ; Šoustek, Petr (referee) ; Kůdela, Jakub (advisor)
This master’s thesis is about optimal route planning for electric vehicles. The first, theoretical part of this work introduces the issue and describes several heuristic methods that have been used to address optimization tasks. A practical part of the thesis is based around software implementation of the methods described earlier. Finally, several experiments and comparisons of obtained results are carried out.
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Path Planning for Robot Formations
Hornáček, Zdenko ; Uhlíř, Václav (referee) ; Rozman, Jaroslav (advisor)
Robotics has been experiencing great development in recent years. This development is due to constant technical progress and the effort to develop increasingly robust robots and to further develop co-operating groups of robots. These co-operating groups (robot formations) have many areas of use ranging from environmental mapping to search and rescue missions. This bachelor thesis deals with the design of the path planning algorithm for robot formations. It uses the already existing planning algorithm for single robot - the Dijkstra algorithm. Based on the path computed by this algorithm, the proposed algorithm will calculate the path for each robot so as to maintain the shape of the formation during its move to the goal.
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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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Hierarchical methods of path planning
Gáčová, Veronika ; Šoustek, Petr (referee) ; Dvořák, Jiří (advisor)
The master thesis deals with hierarchical methods of path planning. The theoretical part is focused on representation of map environment and provides description of path planning algorithms. Further in this thesis description of hierarchical path planning and selected hierarchical methods is provided. In the practical part selected hierarchical methods were implemented. Subsequently in created simulation environment the selected hierarchical methods were compared and evaluated.
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