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Cloud-Based Server for Robot Management
Jezerský, Matouš ; Kapinus, Michal (referee) ; Materna, Zdeněk (advisor)
The goal of this project is to make robots running the ROS platform, and the servers running on them, more accessible to the users, without the need of reconfiguration after a change of network or the need of direct VPN connection, as well as with the emphasis on minimal software requirements for both users and robots. The result is an open-source application, which provides that. The solution is a reverse proxy server, put inbetween the clients and the servers running on robots - Dispatcher. For connection between clients and robots, two OpenVPN networks are used, and as a secure user interface, the existing system RMS is used and extended with Dispatcher interface. Among other things, Dispatcher collects information about all connected robots so a summary can be displayed. This set of software tools therefore allows an authorized user to connect to robots in various networks, without the need of other client software apart of OpenVPN client and web browser.
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Control of a wheelchair
Vožda, Ondřej ; Kopečný, Lukáš (referee) ; Šolc, František (advisor)
This thesis describes development of control algorithm for a wheelchair. Wheelchair should be capable of tracking and following a wall or a similar flat surface. Thesis is supposed to be an extension of the previous concept, whose purpose was to allow remote telepresence control of this wheelchair. SRF08 ultrasonic range finders are used to measure distance from the wall. Furthermore, image processing for mark detection is discussed. Purpose of these marks is to increase precision during final phase of the parking.
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Minidarpa robot - motor controller design
Libra, Jaroslav ; Florián, Tomáš (referee) ; Kopečný, Lukáš (advisor)
The main task of this master’s thesis is to design circuits for feedback control of the main drives Minidarpa robot. It contains the description of power-driven mobile robot control theory and the DC motor. The second part deals with the design options of the control module and its mechanical design. The last part of the proposal made cascade speed control with current loop by using optimal module and the symmetric optimum methods.
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Industrial robotic arm model
Sobota, David ; Kazda, Tomáš (referee) ; Vyroubal, Petr (advisor)
This work deals with problematics if industrial robotic arms, with theirs constructions, controling and with theirs role in Industry 4.0. Work describes the process of development and realization of the industrial robotic arm model by 3D printing. Besides construction fo model, work deals with firmware, software and inversion kinematics crucial to controling. Model of robotic arm will be used as learning tool.
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Calibration of Robotic Workspace
Uhlíř, Jan ; Veľas, Martin (referee) ; Kapinus, Michal (advisor)
This work is concerned by the issue of calibrating a robotic workplace, including the localization of a calibration object for the purpose of calibrating a 2D or 3D camera, a robotic arm and a scene of robotic workplace. At first, the problems related to the calibration of the aforementioned elements were studied. Further, an analysis of suitable methods for performing these calibrations was performed. The result of this work is application of ROS robotic system providing methods for three different types of calibration programs, whose functionality is experimentally verified at the end of this work.
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Swarm Intelligence in MRDS
Kučera, Lukáš ; Hynčica, Ondřej (referee) ; Honzík, Petr (advisor)
The background research in this Master’s thesis is focused on swarm intelligence. Further, there are two experiments described. They are based on released publications and they study behaviour of a group of robots during a puck gathering and during a target search. The actual thesis follows a repetition of these experiments in Microsoft Robotics Developer Studio (RDS), a free robotics simulation environment. The realization of both experiments in RDS is documented in detail and the achieved results are evaluated and compared with the results described in the publications. In conclusion, the thesis summarizes basic features, advantages and disadvantages of developing in RDS, based on a personal experience.
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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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Localization and Chasing of an Intruder in Known Environment
Tomek, Tomáš ; Luža, Radim (referee) ; Rozman, Jaroslav (advisor)
This thesis concentrates information from the field of algorithms for solving the problem of localization and pursuit in known environment. Division of algorithms according to their types and characteristics is given. The algorithms are described in a simplified, easier-to-understand form in comparison to detailed descriptions found in the original papers. Another part of this work is a framework for creation of java applets graphically presenting p-e algorithms. One such applet is implemented with the use of this framework. Educational web pages presenting gathered information and implemented applet are also part of the thesis.
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Moving Object Detection in the Environment of Mobile Robot
Dorotovič, Viktor ; Beran, Vítězslav (referee) ; Veľas, Martin (advisor)
This work's aim is movement detection in the environment of a robot, that may move itself. A 2D occupancy grid representation is used, containing only the currently visible environment, without filtering in time. Motion detection is based on a grid-based particle filter introduced by Tanzmeister et al. in Grid-based Mapping and Tracking in Dynamic Environments using a Uniform Evidential Environment Representation. The system was implemented in the Robot Operating System, which allows for re-use of modules which the solution is composed of. The KITTI Visual Odometry dataset was chosen as a source~of LiDAR data for experiments, along with ground-truth pose information. Ground segmentation based on Loopy Belief Propagation was used to filter the point clouds. The implemeted motion detector is able to distiguish between static and dynamic vehicles in this dataset. Further tests in a simulated environment have shown some shortcomings in the detection of large continuous moving objects.
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