About Embedded Linux And Robotics Training

The robotic field is getting more and more complex, but there’s no need to worry since an army of engineers works to build an entire fleet of software and hardware to solve the problems that may appear. The integration of an enormous amount of sensors and actuators could be a real problem that is transferred also to the area of algorithms and to the hardware platforms dedicated to integrating robotic components. The Robot Operating System (ROS) is engineered to solve the problems from the software side. It contains a series of libraries that support a wide range of sensors and actuators, you’re allowed to write a ROS driver for your sensor, it has a good integration with other robot middleware software like OpenCV, Point Cloud Library, etc., and it can run on single board computers such as Raspberry Pi or BeagleBone Black, or integrated with single boards based on microcontrollers such as the Arduino. The time is a very important resource and any tools that help you to develop a complete solution timely and with minimum resources is a maneuver to choose and run on the shortest path to the final project. The ROS library can help you to implement algorithms and cut down the time required to integrate an entire bag of components, it has support for parallel computing and provide you all the features and benefits of a complete OS. From the development side, the ROS support a long list of development tools with the help of a large community of hobbyists that can share with you some tips and tricks, or any tutorial that can help you to discover the world of robots that run ROS.


EMBEDDED LINUX AND ROBOTICS HIGHLIGHTS

Course Duration

40 Days

Learners

50000

Delivery Mode

Classroom Training

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WHO WILL BENEFIT

Engineering Student
Working Professionals
Industry Experts
Embedded Developers
Enthusiasts
People looking to enhance their Skillsets

EMBEDDED LINUX AND ROBOTICS COURSE CURRICULUM

Introduction to Embedded Linux

  • Linux internals and fundamentals
  • Working with commands
  • Introduction to shell scripting
  • Linux packages
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Introduction to Raspberry Pi

  • Architecture of Raspberry Pi
  • Features of Raspberry Pi
  • Pin-out Details
  • GPIO Details
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Raspberry Pi meets Frameworks

  • GUI
  • Wireless control with GSM , GPS, WiFi
  • Setting up of webserver & cloud
  • Calibration & testing
  • Motor control with AI
  • Object detection & colour sensing
  • Face recognition

Raspberry Pi meets Python
  • Introduction to Python
  • Python Programming basics
  • Accesing GPIOs
  • Rpi.GPIO Library
  • BCM28XX Library
  • Pyserial Library
  • PyQT Library
  • WxPython Library
  • Tkinter Package
  • NPM packages for GUI and GPIO access
Raspberry Pi meets Node.JS
  • Introduction to Node.JS
  • Programming in Node.JS
  • Accessing GPIOs
  • Data logging with Node.JS
  • Serial Communication with Node.JS
  • Creating a IoT node with Node.JS
  • Sending sample data to cloud.
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Interfacing with Raspberry Pi :
  • Interfacing with LEDs
  • Interfacing with Switches
  • Interfacing with Relay
  • Interfacing with LDR ,IR
  • Interfacing with PIR sensor
  • Interfacing with Humudity sensor
  • Interfacing with Flex sensor
  • Interfacing with Temperature sensor
  • Interfacing with 1-wire sensor
  • Interfacing with Accelerometer
  • Interfacing with Dot matrix display
  • Interfacing with LCD display
  • Interfacing with Seven segment display
  • Interfacing with Bluetooth
  • Interfacing with NRF2401+
  • Interfacing with RF TXR