Robotics & Embedded System Training

Industrial Robotics & Embedded System Training from TechTrunk Ventures Pvt. Ltd. (An ISO 9001:2008 Certified Training Company ) in diffirent cities of India. The 45 hours training module includes complete hands on session on Robotics & Embedded Systems.

Fee: INR 8000/-

Batches starting from: 10th April, 2017; 20th April, 2017; 10th May, 2017; 20th May, 2017; 10th June, 2017; 20th June, 2017;  10th July, 2017; 20th July, 2017

Projects:

  • Line Follower Robot
  • DTMF Controlled Robot
  • Mobile Controlled Robot
  • Brainwave Controlled Robo

  • Day 1
    Session 1

    • Introduction of Embedded System
    • Evolution in Microcontroller Technology
    • Past, Present and Future of Embedded System
    • Microcontroller Atmel AVR 328 Architecture
    • Instruction set Architecture
    • Bus Architecture
    • Interrupts and Timers
    • Microcontroller AVR Faimly

    Session 2

    • Introduction to Arduino IDE
    • Program organization and microcontroller
    • memory
    • Data types
    • Constants
    • variables
    • Microcontroller register/port addresses
    • Operators: Arithmetic, Logical, shift
    • Control structures: If-else, while, for
    • Functions
    • Need of Flow Diagram
    • How to write First “LED BLINKING” Code in Arduino IDE
    • Why always First “LED BLINKING” Code?
    • Practice on various LED Pattern
    • Debugging of Error Program

  • Day 2
    Session 1

    • I/O Devices Interface and Practical
    • LED Display
    • Intelligent LCD Display
    • DC Motors
    • Serial Communication Concepts
    • Damping the program in MCU
    • Introduction to DTMF Decoder
    • Working on HT9170 DTMF decoder module
    • Project: DTMF based Systems

    Session 2

    • Introduction to wireless communication
    • Introduction to RF modules
    • Working on RF modules
    • Project: Wireless remote controlled system

  • Day 3
    Session 1

    Introduction to Robotics

    • History of Robotics
    • Why Robotics
    • How Robotics works
    • Application of Robotics
    • Current Industrial Robotics
    • Future of Robotics

    Session 2

    • What is Sensor?
    • Various Basic Industrial Sensors-IR- Analog
    • Sensor
    • IR Digital Sensor
    • Light Sensor
    • Sound Sensor
    • Basic working Technique of Sensor
    • Application of Sensor

  • Day 4
    Session 1

    What is Computational Device?

    • Difference B/W Various Computational Devices
    • Application of various Computational Devices
    • Selection of Computational Device
    • How to use Various Computation Device
    • Work on AVR Family with Mega Series
    • (ATmega328)

    Interfacing to Actuator

    • What is Actuator?

    Session 2

    Introduction to Driving System/Locomotion for Robotics

    • What is Driving System?
    • Various Types of Driving System
    • Why need Driving System

    How to Drive Motor

    • H-Bridge Motor Drive
    • Advanced Motor Driver

  • Day 5
    Session 1

    Introduction to LCD Display

    • Pin Description of 16×2 LCD Display
    • Application of 16×2 LCD Display
    • Programming of 16×2 LCD Display

    Introduction to 7-Segment Display

    • What is 7-Segment Display
    • Types of 7- Segment Display
    • Application of 7-Segment Display
    • Programming of 7-Segment Display

    Session 2

    • Introduction to Analog to Digital Convertor
    • (ADC)
    • ADC, How it works???
    • Different Mode and Registers of ADC
    • Programming ADC

  • Day 6
    Session 1

    Serial Communication

    • Difference between Parallel and Serial
    • Communication
    • USART / UART Protocol
    • RS232 Standard
    • TTL Converter
    • UART Programming
    • About HC05 Bluetooth Module
    • Interfacing HCo5 Bluetooth Module with Arduino

    Session 2

    • Designing Line follower robot
    • RF controlled Robot
    • Bluetooth Controlled Robot

  • Day 7

    Session 1

    • About EEG-based Sensors
    • Serial Communication & Baud Rate
    • Configuring Bluetooth Module
    • Connecting Arduino with EEG Brain sense Device
    • Analyzing signals from Brain sense device
    • Nerve Movement
    • Detecting Eye blink and controlling actuators
    • Designing Algorithms for Eye Blink
    • Stress Signal Detection
    • Analyzing brainwave data using MATLAB

    Session 2

    • Designing Bran Wave Controlled Robot

 

 

 

 

 

 

 

 

 

 

 

 

 

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