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The document describes the architecture of a system using SunSPOT devices and Bioloid robots. It outlines five layers for the SunSPOT component: user interface, control, data management, base device, and free range device layers. It also describes two layers for the robot component: a software layer responsible for robot behavior and a hardware layer for assembly. It provides details on the responsibilities and data flow within each layer.
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easily re-configurable in order to reduce the design lead times and life cycle costs of providing automation alternatives.
The Unified Tele-robotics Architecture Program (UTAP) was developed under the sponsorship of the US Air Force Robotics and
Automation Center of Excellence. A goal of the program was to define and develop prototypes of commonly used software building
blocks for sensor guided real time embedded control of telerobotic devices. Standard building blocks and a non-proprietary
communication protocols would provide the Air Force and specifically the Logistic Centers with a support infrastructure designed to
rapidly and efficiently build and maintain mission critical automation systems.
Android application development
There are four main types of application components in Android: activities which represent a single screen in the app, services which run in the background, broadcast receivers which allow the app to respond to system-wide events, and content providers which manage shared app data. The manifest file declares these components and their permissions. The activity lifecycle handles navigating between activities, saving and restoring state, and sending data between components within and between processes.
Black Box for Accident Analysis Using MATLAB-Image Processing
The main purpose of this paper is to develop a prototype device that can be installed in automobile for accident analysis .in this paper I proposed a method to analysis the face of driver that weather he was felling doziness while driving. This is done by taking the image from the raspberry pi device and put it in an image processing method using MATLAB. Also, I used the method to store the data into the cloud as well as device which can be further used for analysis the cause of accident.
Vision Based Autonomous Mobile Robot Navigation
This document describes the design of a vision-based autonomous mobile robot. It includes:
- The goal of building a low-cost, lightweight robot that can navigate autonomously using computer vision to avoid obstacles.
- An overview of the robot's components, which include a Raspberry Pi computer, Arduino microcontroller, webcam, motors, and battery.
- Descriptions of optical flow and how it will be used for motion estimation, obstacle avoidance, and navigation. The robot will track features, compute optical flow from video frames, and use this to steer safely.
- Details on communicating steering signals from the Raspberry Pi to the Arduino controller over a serial TTY connection.
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