Tato práce popisuje další vývoj výukového sériového manipulátoru se třemi stupni volnosti. Práce se zabývá jednoduchou mechanickou úpravou manipulátoru, ale především pak softwarovou částí. Výsledkem je pak hra piškvorky, kdy manipulátor umožňuje hru proti lidskému protějšku. První část práce je věnována zlepšení inicializačního procesu manipulátoru a následně pak i návrhem vhodné polohové regulace. V další části je manipulátor rozšířen o jeden stupeň volnosti. Součástí je i návrh koncového efektoru vhodného pro psaní. Z takto upraveného manipulátoru je sestaven kinematický model vhodný pro real-time řízení. Dalším krokem v práci je návrh samotné aplikace hry piškvorky. Je navržen vhodný hrací algoritmus, včetně detekce a rozpoznání znaků v hracím poli pomocí kamery. Následně je vše implementováno do real-time aplikace, kde komunikaci s uživatelem zajišťuje navržené uživatelské rozhraní.

This work deals with the construction of a specific device for handling batching, such as paper rolls wound on a paper tube. It is included in the structural design of the device, control engineering calculations nodes developed basic drawing documentation manipulator.

The theoretical part deals with the basic division of industrial robots, their structure and working space. It analyzes propulsion using the industrial robots and sensors required to operate in the robot. The practical part describes the design of a mechanical arm for an industrial robot manipulator. The practical part also includes a description of the sensor and a description of the control unit.

Doctoral thesis is dealing with the methods for analysis of surfaces by photoelectrons being emitted by X-ray radiation. The methods are: X-ray Photoelectron Spectroscopy - XPS, Angle-resolved XPS - ARXPS and X-ray Photoelectron Diffraction - XPD. The work is especially focused on a method of ARXPS, which is used for the depth compositional analysis of sample surfaces. To obtain an information about the depth composition from the measured ARXPS spectra, a calculation software in the Matlab environment has been developed. The software has been tested both for simulated and real sample data. For an experimental implementation of these methods, a complete manipulation system has been developed. It ensures the transport of samples inside a vacuum apparatus and the experiment itself. The system is controlled mainly by a software and enables to run the experiments automatically.

The presented PhD thesis aims to verify the possibilities of using capacitive accelerate sensors on the crane and handling technology. Capacitive acceleration sensors of MEMS type are currently widely used in electronics, e.g. laptops and mobile phones. Using these sensors could help to automate cranes, which would eventually reduce the financial costs of material handling. Precise knowledge of their own condition and position of the machine and the load is a necessary part of autonomous manipulators. The first part of thesis deals with the exploration of scientific research in the Czech Republic and abroad. Furthermore the options of mathematical description of moving the load on the rope tow are described including solved examples. One chapter is devoted to the description of sensors that could be used in the automation of cranes. The main part is focused on description of several experiments. The experiments were conducted in a lab constructed specially for this measurement. Mainly basic simpler models are described illustrating abilities of the sensor. The last part outlines further possible progress of research in this area.

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In the field of control theory, optimal performance is generally defined as the best possible controlled performance given a static, unchangeable plant system. However, principled design of the underlying system can make designing effective controllers easier and dramatically improve the final control performance beyond what any finely tuned controller could achieve alone. This work develops performance metrics for serial robot arms which help guide the design and optimization of the structure of the arm to achieve greater final performance. First, a kinematic (motion-based) metric called the Actuator Independence Metric (AIM) measures the uniqueness of the movement capabilities of the different joints in a robot arm. Arms which are optimized with respect to the AIM exhibit a greater freedom of movement. In particular, it is shown that the AIM score of a robot correlates strongly with their ability to find solutions to the Inverse Kinematics problem, and that redundant arms with a high AIM score have more useful null-spaces with significant ability to change configuration while maintaining a fixed end-effector pose. Second, a dynamic metric called the Acceleration Radius is explored. The acceleration radius measures the maximum acceleration which a robot arm is capable of generating in any direction. An efficient algorithm for calculating the acceleration radius is developed which exploits the geometry of the mapping from joint torques to acceleration. A design optimization is carried out to demonstrate how the acceleration radius predicts the dynamic movement capabilities of robot arms. It is shown that arms which are optimal with respect to the acceleration radius can follow faster paths through a task space. The metrics developed in this thesis can be used to create customized robot arm designs for specific tasks, which will exhibit desirable control performance.

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