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Robotics & Automation

Er Yogendra Singh Rajput December 13, 2025
Summer Training - Robotics & Automation
Build Intelligent Machines

Future of
ROBOTICS

From Arduino basics to ROS (Robot Operating System). Learn Kinematics, Sensors, AI Vision, and build Autonomous Bots.

Start Building Course Report

ROS

Development

AI

Computer Vision

IoT

Connectivity

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robot_control.py Connected
Robotics Curriculum

Detailed Topic Breakdown

Comprehensive training covering Mechanics, Electronics, Programming, and AI for Robotics.

Module 1

Robot Anatomy

Understanding the physics, mechanics, and electronic drivers of robots.

Week 1 (Day 1-7)

Part A: Mechanics & Basics

  • Introduction to Robotics (Laws, History)
  • Degrees of Freedom (DOF)
  • Types of Robots (Serial, Parallel, Mobile)
  • Locomotion Techniques (Wheeled, Legged)
  • Chassis Design & Stability
  • Gears & Torque Calculations
  • Center of Gravity (COG)
  • Joints & Links
  • Power Supply (Li-Po, Li-Ion Batteries)
  • Basic Tools (Soldering, Multimeter)

Part B: Actuators & Drivers

  • DC Motors (Geared/Standard)
  • Servo Motors (PWM Control)
  • Stepper Motors (Steps/Microsteps)
  • BLDC Motors (Drone basics)
  • Motor Drivers (L293D, L298N)
  • H-Bridge Circuit Theory
  • Relays & Mosfets for High Power
  • Encoders (Optical/Magnetic)
  • Feedback Control Systems
  • Wiring Harness & Connectors
Module 2

Brain & Senses

Programming the brain (Arduino/Pi) and integrating sensors.

Week 2 (Day 8-14)

Part A: Microcontrollers

  • Arduino Uno/Mega Architecture
  • Arduino IDE & Programming
  • GPIO & Digital I/O
  • Analog Read/Write (ADC/PWM)
  • Raspberry Pi Introduction
  • Linux for Robotics (Basic Commands)
  • Python vs C++ for Robots
  • Interfacing Arduino with Pi (Serial)
  • ESP32 for Wireless Robotics
  • Libraries & Firmware

Part B: Sensors Integration

  • Ultrasonic Sensor (HC-SR04)
  • IR Sensors (Line Following)
  • IMU (MPU6050 Gyro/Accel)
  • Magnetometer (Compass)
  • Lidar Basics (2D Mapping)
  • Color Sensor (TCS3200)
  • Temperature/Humidity Sensors
  • Sensor Fusion Concepts
  • Filtering Data (Kalman Filter basics)
  • Interrupt-based Sensing
Module 3

Math & Vision

Robot Kinematics and giving sight to robots using Computer Vision.

Week 3 (Day 15-21)

Part A: Kinematics

  • Coordinate Frames
  • Rotation Matrices
  • Homogeneous Transformations
  • Forward Kinematics (FK)
  • Inverse Kinematics (IK)
  • DH Parameters (Denavit-Hartenberg)
  • Jacobian Matrix (Basics)
  • Path Planning Algorithms
  • PID Control Implementation
  • Differential Drive Kinematics

Part B: Computer Vision

  • Introduction to OpenCV (Python)
  • Image Processing Basics
  • Color Detection & Tracking
  • Edge Detection (Canny)
  • Face Detection (Haar Cascades)
  • Object Tracking
  • Shape Recognition
  • Camera Interfacing with Pi
  • Visual Servoing Concept
  • QR Code/AprilTag Scanning
Module 4

Advanced & ROS

Robot Operating System (ROS) and Final Capstone Projects.

Week 4 (Day 22-28)

Part A: ROS Basics

  • Introduction to ROS1 vs ROS2
  • ROS Filesystem & Workspace
  • Nodes & Master
  • Topics & Messages (Pub/Sub)
  • Services & Parameters
  • Rviz Visualization Tool
  • Gazebo Simulation Environment
  • URDF (Robot Description)
  • Creating Custom ROS Msg
  • Launching Nodes

Part B: Major Projects

  • Project 1: Line Follower Robot (PID)
  • Project 2: Obstacle Avoidance Bot
  • Project 3: Bluetooth Controlled Car
  • Project 4: 3-DOF Robotic Arm
  • Project 5: Vision-based Sorter
  • Debugging & Testing
  • Power Management for Mobile Bots
  • PCB Design for Shields
  • Documentation
  • Final Presentation

Download Certification Resources

Access the complete 30+ page Project Report, Circuit Diagrams, Code, and Slides.

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Disclaimer: This training program utilizes open-source tools (ROS, OpenCV) and hardware (Arduino, Pi) for educational purposes.

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