This master thesis deals with the planning of the robot's path using selected graph algorithms of artificial intelligence. The theoretical part describes the basic methods of planning a robot's path. It is related to the graph algorithm more closely. The practical part deals with implementation of selected graph algorithms, creation of simulation environment in Python, description and evaluation of experiments.

This thesis implements solution for automatic docking for a mobile robot using visual markers. After initial survey of already implemented works, new docking solution is proposed. Feasibility of the solution is verified with tests of marker detection precision. The implementation is tested in a simulation and with a real robot. The functionality of the proposed solution is verified by long-term tests. The result of this work is robot’s ability to navigate known environment to find and dock a charging station. After charging the robot is able to safely disconnect from the station.

This master thesis deals with path planning for multiple mobile robots. The theoretical part describes robot navigation -- mapping and path planning. Selected methods of artificial intelligence used in multi-robot path planning are described. In practical part simulator is implemented, in which selected algorithms were compared using experiments.

The diploma thesis deals with the design of a single-wheel mobile robot, which is able to jump and collect samples weighing 2 Kg. The first part is devoted to the review of single-wheel robots. A brief analysis of single-wheel motion and a brief overview of jumping mechanism follow up. The second part describes problem analysis and five design variants. Using the multicriteria analysis, the variants were evaluated, and the optimal variant was chosen. The third partm is dedicated to the dynamic calculations and the mechanical design of the robot itself. The last part is devoted to economic evaluation and discussion with possible continuation in developing. The complete drawing documentation of the robot is included in this work.

This master‘s thesis deals with theme of autonomous mobile robots. In sequence of the bachelor’s thesis its goal is to design a control system of the outdoor mobile robot for Minidarpa type competition. It could be practically used for an autonomous transportation of material. In design of the control system the attention is aimed at planning algorithms which are divided into the local and the global parts. Most of the work is paid to a global planning algorithm, which plans, in help with graph algorithms, points needed to travel to achieve the goal. The global map is defined in RNDF file which must be preprocessed for needs of planning. There are designed classes in C++ language for communication with subsystems too. The control system further contains graphical interface for operation of the robot and a remote control through a wireless gamepad.

This master’s thesis elaborates on the control of a wheeled mobile robot and its sensor system. The sensors provide information about distances of obstacles in its surroundings and orientation in area. The communication is realized by radiomodems, commands and data are sent by serial link between microncontroller and the PC.

In the introductory part of this thesis there is an analysis of methods, which are used for navigation of mobile robots. The main part of the thesis contains a proposal of control system of mobile robot. Robot control system is based on fuzzy modeling. To test the control, a system simulation environment is created in C #, in which experiments were performed.

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.

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.

This diploma thesis deals with application of Microsoft Kinect sensor for remote control of mobile robot. The aim was design and implement methods for remote control of mobile robot with using of predefined gestures and these method practically tested.