Tese de mestrado integrado. Engenharia Mecânica. Faculdade de Engenharia. Universidade do Porto. 2010

Simulink Block Library for LEGO NXT Abstract Dominik Škoda July 30, 2014 The goal of this work is to create a support for the LEGO NXT platform in Simulink development environment. Such support of the target platform already exists, but it suffers from several disadvantages. At first it is provided exclusively for Windows operating systems, and the implementation is closed, therefor neither extensible nor customizable. The main premise of this project is the support of Linux operating systems. The project is also opened to ensure the extensibility and customizability. The model-driven development of systems for the LEGO NXT platform using this project comprises the model testing in a simulation and code generation in Simulink environment by using its standard tools, and deployment of completed programs to target devices. The systems generated with the help of this project are categorized as real-time systems.

RTEMS is an open source real-time operating system used in embedded devices across a wide range of processor architectures. Lego Mindstorms NXT is a programmable robotics kit from Lego, which may be used as an educational tool to build a model of an~embedded system with computer-controlled electromechanical parts. The goal of the thesis is to allow development of RTEMS-based applications for Lego Mindstorms NXT platform with the aim of employing the results of the thesis as a runtime platform used in the Embedded and Real-Time Systems Course. The thesis thus identifies a suitable way of porting RTEMS to Lego NXT, provides the corresponding runtime environment and discusses basic means for deployment and debugging of RTEMS application on Lego Mindstorms NXT. Powered by TCPDF (www.tcpdf.org)

<p><em>This bachelor thesis is dedicated to assemble the hardware system of a UAV (Unmanned Aerial Vehicle) in order to prepare the platform for an autonomous flight in the air for a given path through the pre-programmed check points. A UAV is an aircraft that contains sensors, GPS, radio system, servomechanisms and computers, which provide the capability of an autonomous flight without a human pilot in the cockpit. A stable flight requires sensing the roll, pitch, and yaw angles of aircraft. Roll and pitch angles were ensured by a sensor system of FMA Direct Company called co-pilot flight stabilization system (CPD4), which allows controlling ailerons and elevator manually.</em></p><p><em>An autopilot is required for steering the aircraft autonomously according the GPS data and the establish waypoints that the airplane have to pass by. The GPS gives heading information to the autopilot, and this uses the information of the next waypoint to decide which direction to go. Hereby an autonomous flight is provided. In this project a lego mindstorm NXT was used as an autopilot that is product of LEGO Company [1]. The output of the autopilot is used to control the airplane servos to fly in the desired direction. A software and hardware interface was designed to allow the autopilot to receive the data from the co-pilot sensor and to transmit data to the co-pilot processor, which will finally steer the actuator servos. Experiments were performed with different parts of the system and the results reported.</em></p>

The recent advent of consumer grade Brain-Computer Interfaces (BCI) provides a new revolutionary and accessible way to control computers. BCI translate cognitive electroencephalography (EEG) signals into computer or robotic commands using specially built headsets. Capable of enhancing traditional interfaces that require interaction with a keyboard, mouse or touchscreen, BCI systems present tremendous opportunities to benefit various fields. Movement restricted users can especially benefit from these interfaces. In this thesis, we present a new way to interface a consumer-grade BCI solution to a mobile robot. A Red-Green-Blue-Depth (RGBD) camera is used to enhance the navigation of the robot with cognitive thoughts as commands. We introduce an interface presenting 3 different methods of robot-control: 1) a fully manual mode, where a cognitive signal is interpreted as a command, 2) a control-flow manual mode, reducing the likelihood of false-positive commands and 3) an automatic mode assisted by a remote RGBD camera. We study the application of this work by navigating the mobile robot on a planar surface using the different control methods while measuring the accuracy and usability of the system. Finally, we assess the newly designed interface’s role in the design of future generation of BCI solutions.

This bachelor thesis is dedicated to assemble the hardware system of a UAV (Unmanned Aerial Vehicle) in order to prepare the platform for an autonomous flight in the air for a given path through the pre-programmed check points. A UAV is an aircraft that contains sensors, GPS, radio system, servomechanisms and computers, which provide the capability of an autonomous flight without a human pilot in the cockpit. A stable flight requires sensing the roll, pitch, and yaw angles of aircraft. Roll and pitch angles were ensured by a sensor system of FMA Direct Company called co-pilot flight stabilization system (CPD4), which allows controlling ailerons and elevator manually. An autopilot is required for steering the aircraft autonomously according the GPS data and the establish waypoints that the airplane have to pass by. The GPS gives heading information to the autopilot, and this uses the information of the next waypoint to decide which direction to go. Hereby an autonomous flight is provided. In this project a lego mindstorm NXT was used as an autopilot that is product of LEGO Company [1]. The output of the autopilot is used to control the airplane servos to fly in the desired direction. A software and hardware interface was designed to allow the autopilot to receive the data from the co-pilot sensor and to transmit data to the co-pilot processor, which will finally steer the actuator servos. Experiments were performed with different parts of the system and the results reported.

The recent advent of consumer grade Brain-Computer Interfaces (BCI) provides a new revolutionary and accessible way to control computers. BCI translate cognitive electroencephalography (EEG) signals into computer or robotic commands using specially built headsets. Capable of enhancing traditional interfaces that require interaction with a keyboard, mouse or touchscreen, BCI systems present tremendous opportunities to benefit various fields. Movement restricted users can especially benefit from these interfaces. In this thesis, we present a new way to interface a consumer-grade BCI solution to a mobile robot. A Red-Green-Blue-Depth (RGBD) camera is used to enhance the navigation of the robot with cognitive thoughts as commands. We introduce an interface presenting 3 different methods of robot-control: 1) a fully manual mode, where a cognitive signal is interpreted as a command, 2) a control-flow manual mode, reducing the likelihood of false-positive commands and 3) an automatic mode assisted by a remote RGBD camera. We study the application of this work by navigating the mobile robot on a planar surface using the different control methods while measuring the accuracy and usability of the system. Finally, we assess the newly designed interface’s role in the design of future generation of BCI solutions.

Bc. Kamenský. M. Create a library into the system Control Web for full control NXT Mindstorms. Master's thesis. Brno, 2013. This thesis deals with making connection between the Lego Mindstorms NXT 2.0 and the Control Web system. Thesis contains description of communication between NXT brick and computer, and creation of driver into the Control Web system. There is also description of created libraries and their using in new ap-plication for Control Web system.

The recent advent of consumer grade Brain-Computer Interfaces (BCI) provides a new revolutionary and accessible way to control computers. BCI translate cognitive electroencephalography (EEG) signals into computer or robotic commands using specially built headsets. Capable of enhancing traditional interfaces that require interaction with a keyboard, mouse or touchscreen, BCI systems present tremendous opportunities to benefit various fields. Movement restricted users can especially benefit from these interfaces. In this thesis, we present a new way to interface a consumer-grade BCI solution to a mobile robot. A Red-Green-Blue-Depth (RGBD) camera is used to enhance the navigation of the robot with cognitive thoughts as commands. We introduce an interface presenting 3 different methods of robot-control: 1) a fully manual mode, where a cognitive signal is interpreted as a command, 2) a control-flow manual mode, reducing the likelihood of false-positive commands and 3) an automatic mode assisted by a remote RGBD camera. We study the application of this work by navigating the mobile robot on a planar surface using the different control methods while measuring the accuracy and usability of the system. Finally, we assess the newly designed interface’s role in the design of future generation of BCI solutions.

This thesis analyzes a continuity between the changes of the exchange rates of the cryptocurrencies and the dynamics of the created content on the Internet by their users. The main goals of this thesis are to analyze unstructured data focusing on the development of the topics for different cryptocurrencies and to interconnect the key topics with the changes of the exchange rates of this cryptocurrencies. In order to successfully obtain goals I describe process and methods of the analysis unstructured data, explain the issues of the cryptocurrencies, identify a source of the downloading data and choose some cryptocurrencies for subsequent analysis. The contribution of this thesis is the identification of the development key topics in the chosen source, finding topics, which are the most under discussion about the chosen five cryptocurrencies. Also this thesis detects the existence of the reaction of the users to the changes of exchange rates of the chosen cryptocurrencies and describes it. Particular contribution of this thesis is a practical demonstration of the application the elected technology for analyzing unstructured data. Also additional contribution is the methods using in the analytical part. Structure of this thesis is divided to the three main parts. The first part describes the analysis of unstructured data theoretically and explain the issues of cryptocurrencies. The second part devotes a draft of the solution for creating an analytical part. The third part maps the most discussion cryptocurrencies in the chosen source, identifies the development of the key topics for five chosen cryptocurrencies Bitcoin, Nxt, Dash, Monero and Counterparty and interconnects the key topics this cryptocurrencies with changes their exchange rates in relation to American dollar.