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Robotics for Beginners- Self Learning Course

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    Anshu Pandey
  • 19 (Registered)

  • (3 Reviews)

Robotics for Beginners- Self Learning Course

Robotics for Beginners

What is Arduino?

Arduino is a microcontroller suitable for hardware prototyping. A microcontroller is like a brain. Process input and send output.

The microcontroller is a small computer on a single integrated circuit that contains the processor core, memory, and programmable I / O peripherals.

With mini controller such as Arduino, you can control the circuit, LED, and much more.

About Course

Robotics is on the way to becoming part of every single domain of industry and also have started moving from industry to the personal life of humans. Starting from being used in manufacturing industries for niche applications, Robots are now being used in educational, cleaning, household, food delivery, surveillance, and many other applications.

This robotics online course takes the learner from scratch of Robotics to getting started with building Robotics applications with Arduino UNO Programmable board. This course is designed for absolute beginners having no knowledge of Robotics and hardware to help them get a platform to get started with programming, understanding the electronics and the concepts of the Robotics and Arduino programming.

The course helps a learner to understand the interfacing of LEDs, motors, working with Pulse Width Modulation with a great video tutorial and documentation in detail. This course also takes through the understanding of Bluetooth, serial communication and locomotion control.

This is a must course, to begin with, Robotics for Undergraduates and Postgraduates and school students to start with a good science project.

Course Objective

  1. To understand the concept of Robotics, the architecture, and components
  2. Getting started with Arduino Uno board and Arduino programming
  3. Understand wireless communication using Bluetooth

The Course covers

  1. Robotics System Architecture
  2. Robotics Hardware and Sensors
  3. Working with Arduino
  4. Interfacing motors, PWM
  5. Wireless communication using Bluetooth
  6. Android controlled Robot

Course Outcome

After completion of this course –

  1. The learner will get a sound understanding of core concepts and subdomains of  Robotics and Robotic Architecture.
  2. The learner will get proficiency in writing codes for developing basic robotics applications using motor locomotion.
  3. Upon completion of this course, the learner will be able to develop different robotic’s prototypes and will be able to participate in ‘Robotics competitions’.

Prerequisite

  1. Basic Understanding of any Programming Language.
  2. Basic understanding of electronics will be an added advantage (Not necessary)

Machine Requirement

  1. Windows Machine (Windows 7 or Above) /Linux Machine
  2. 4 GB RAM

Software used

Arduino, free available

Downloading Link –  https://downloads.arduino.cc/arduino-1.8.7-windows.exe

Projects Covered

  1. Robot Speed Control using PWM
  2. PC Controlled Robot
  3. Android Controlled Robot

Hardware kit- 

List of kit components (learner has to buy given components separately / 9182275802 )

  1. Arduino UNO R3
  2. Arduino USB Cable
  3. L293D Motor Driver
  4. Motors & Wheels
  5. Robotics Chassis
  6. HC05 Bluetooth Module
  7. Few Connecting wire 
  8. Screw, Nut and Screw Driver

Suggested relevant courses after taking this course

  1. Self Driving Car
  2. Machine Learning
  3. Internet of Things

 

Course Curriculum

Instructors

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Anshu Pandey
A Technical expert and a passionate trainer has expertise in the field of Artificial Intelligence, Machine Learning and IoT, he has a proven work record of delivering more than 100+ workshops and Technical Training in various technologies and domains at the top MNCs, premier organizations including IITs, NITs and other premier educational organizations. He has delivered 50+ corporate Training to clients from India and abroad. Skills- Programming Languages: Python, Arduino, R, MATLAB Scripting Languages: HTML, JS, CSS AI Skills: Machine Learning – Linear & Logistic Regression, Clustering, Artificial Neural Networks, SVM, Genetic Algorithm, Fuzzy Logic, Natural Language Processing, PCA, CNN, LSTM AI, ML Tools & Platforms: Python, Tensorflow, Keras, Azure ML, AWS, Apache Spark Hardware: Arduino, Raspberry Pi, AVR, Intel Edison, Xbee, LoRaWAN IoT Platforms: AWS IoT, Thingworx, ThingsBoard, IBM Watson IoT, ThingSpeak, myDevices, Twilio, node-red, Ubidots, PubNub, IoT Gateway

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