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.


Course Duration

40 Days



Delivery Mode

Classroom Training

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

Introduction to Embedded Linux

  • alt text Linux internals and fundamentals
  • alt text Working with commands
  • alt text Introduction to shell scripting
  • alt text Linux packages

Introduction to Raspberry Pi

  • alt text Architecture of Raspberry Pi
  • alt text Features of Raspberry Pi
  • alt text Pin-out Details
  • alt text GPIO Details

Raspberry Pi meets Frameworks

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

Raspberry Pi meets Python
  • alt text Introduction to Python
  • alt text Python Programming basics
  • alt text Accesing GPIOs
  • alt text Rpi.GPIO Library
  • alt text BCM28XX Library
  • alt text Pyserial Library
  • alt text PyQT Library
  • alt text WxPython Library
  • alt text Tkinter Package
  • alt text NPM packages for GUI and GPIO access
Raspberry Pi meets Node.JS
  • alt text Introduction to Node.JS
  • alt text Programming in Node.JS
  • alt text Accessing GPIOs
  • alt text Data logging with Node.JS
  • alt text Serial Communication with Node.JS
  • alt text Creating a IoT node with Node.JS
  • alt text Sending sample data to cloud.

Interfacing with Raspberry Pi :
  • alt text Interfacing with LEDs
  • alt text Interfacing with Switches
  • alt text Interfacing with Relay
  • alt text Interfacing with LDR ,IR
  • alt text Interfacing with PIR sensor
  • alt text Interfacing with Humudity sensor
  • alt text Interfacing with Flex sensor
  • alt text Interfacing with Temperature sensor
  • alt text Interfacing with 1-wire sensor
  • alt text Interfacing with Accelerometer
  • alt text Interfacing with Dot matrix display
  • alt text Interfacing with LCD display
  • alt text Interfacing with Seven segment display
  • alt text Interfacing with Bluetooth
  • alt text Interfacing with NRF2401+
  • alt text Interfacing with RF TXR