Robotics is a fun way to combine science, engineering, and technology to create robots. Many kids seem to love robots because simply put, they’re pretty cool.

If your child is fascinated by robots and wants to learn how to make their own, you may be thinking about how to get them into robotics for kids.

Robotics for beginners is a great way to get kids introduced to the topic and teach them how to code their own robot. Once they do this, they’ll most likely want to learn more.

The world of robotics is certainly here to stay as it’s estimated that by 2040, robots might become as smart as humans.

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Syllabus

Syllabus we covered
Module 1
Introduction to Robotics

Overview of Robotics

  • History and evolution of robotics
  • Types of robots and their applications
  • Basic components of a robot (sensors, actuators, controllers)

Robotics Systems and Subsystem

  • Understanding robotic systems
  • Introduction to robotic subsystems (mechanical, electrical, software)
  • Overview of common robotics platforms (Arduino, Raspberry Pi, LEGO Mindstorms)

Module 2
Basic Electronics and Mechanics

Basic Electronics for Robotics

  • Introduction to electronic components (resistors, capacitors, diodes, transistors)
  • Understanding circuits and breadboarding
  • Power supply considerations for robots

Mechanics and Actuators

  • Basics of mechanical design
  • Types of actuators (motors, servos, stepper motors)
  • Designing and building simple mechanical structures

Module 3
Microcontrollers and Programming

Introduction to Microcontrollers

  • Understanding microcontrollers and their role in robotics
  • Overview of popular microcontrollers (Arduino, Raspberry Pi)
  • Setting up and programming an Arduino

Basic Programming for Robotics

  • Introduction to programming concepts (variables, loops, conditionals)
  • Writing simple programs to control LEDs and motors
  • Using sensors to gather data

Module 4
Sensors and Data Acquisition

Types of Sensors

  • Overview of sensors used in robotics (ultrasonic, infrared, touch, temperature)
  • Connecting and interfacing sensors with microcontrollers
  • Reading and interpreting sensor data

Sensor Integration

  • Integrating multiple sensors into a robotic system
  • Filtering and processing sensor data
  • Implementing basic sensor fusion techniques

Module 5
Mobile Robots and Locomotion

Basics of Mobile Robotics

  • Types of locomotion (wheeled, tracked, legged)
  • Designing and building a simple wheeled robot
  • Controlling robot movement with basic algorithms

Advanced Locomotion Techniques

  • Implementing differential drive and skid steering
  • Introduction to kinematics and dynamics
  • Balancing and stability in mobile robots

Module 6
Robot Control Systems

Open Loop and Closed Loop Control

  • Understanding control systems and feedback loops
  • Implementing open loop control
  • Introduction to closed loop control (PID controllers)

Advanced Control Techniques

  • Tuning PID controllers
  • Implementing advanced control algorithms (fuzzy logic, neural networks)
  • Real-time control and response optimization

Module 7
Autonomous Navigation

Path Planning and Navigation

  • Basics of path planning
  • TImplementing simple navigation algorithms (A*, Dijkstra's algorithm)
  • Obstacle detection and avoidance

Advanced Navigation Techniques

  • Introduction to SLAM (Simultaneous Localization and Mapping)
  • Using GPS and IMU for navigation
  • Integrating advanced sensors (LiDAR, cameras)

Module 8
Robotics Programming with ROS

Introduction to ROS (Robot Operating System)

  • Overview of ROS and its architecture
  • Setting up a ROS environment
  • Basic ROS concepts (nodes, topics, services)

ROS Programming

  • Writing simple ROS programs
  • Using ROS for sensor integration and control
  • Simulating robots with Gazebo

Module 9
Robotics Projects and Applications

Project Planning and Development

  • Planning a robotics project
  • Designing and prototyping
  • Iterative development and testing

Advanced Robotics Applications

  • Exploring advanced robotics applications (drones, robotic arms, humanoids)
  • Implementing machine learning for robotics
  • Case studies and current trends in robotics

Module 10
Final Project Presentation

Final Project Completion

  • Finalizing the project
  • Preparing for presentation
  • Creating a project summary and documentation

Final Project Presentation

  • Students present their final projects
  • Feedback and discussion
  • Assessment and Evaluation
  • Module-based assignments and quizzes
  • Mid-course project
  • Final project and presentation

Contact

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+91 8072022595
+91 4362-267330
India

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Al Shaiba Building, Academic City,
Dubai, United Arab Emirates

+971 52394 9324
UAE

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