Robotics for Class 9-10 Kids

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About Course

Classes 9–10 (Foundation of Engineering Thinking)

Objective: Develop logical thinking, coding skills, and project-based understanding of robotics.

Program Summary:

  • Program Duration: Yearlong hands on course program.
  • Class Mode: Hybrid (Online / Offline)
  • Class Day: Week Day / Weekend Batch
  • Classes / Week: Once in a Week
  • Class Duration: 90 Minutes

Program Details Breakdown:

  • Embedded Systems: Arduino + sensors + actuators
  • Introduction to IoT in Robotics
  • Understanding automation and control loops
  • Simulating real-world problems
  • Python for Robotics (simple logic with GPIO simulation)
  • Basic AI integration (voice control, face detection via tools like Teachable Machine)
  • Team Project: Smart farming robot / Automated delivery robot

What Will You Learn?

  • For Class 9-10 kids (typically 14-16 years old), a robotics course would involve:
  • Advanced Text-Based Programming: Mastery of languages like Python for robot control, data processing, and complex algorithms.
  • Deeper Electronics & Circuits: Understanding components like microcontrollers (Arduino, Raspberry Pi), basic circuit design, soldering (optional), and power management.
  • Mechanical Design Principles: Introduction to CAD software for robot design, understanding structural integrity, gear ratios, and advanced mechanisms.
  • Sensor Fusion & Data Analysis: Integrating multiple sensors (e.g., IMUs, cameras, LiDAR) for complex environmental understanding and basic data interpretation.
  • Control Systems: Introduction to concepts like PID control for precise robot movement and stability.
  • Robotics Applications: Exploring real-world applications (industrial robots, autonomous vehicles, drones) and their underlying principles.
  • Complex Problem-Solving & Project Management: Working on substantial, open-ended projects, often in teams, focusing on design, implementation, and rigorous testing.
  • Preparation for Competitions: Skills relevant for higher-level robotics competitions (e.g., FRC, VEX Robotics Competition).
  • Introduction to AI/Machine Learning (basic): Basic concepts of how AI can be applied in robotics for decision-making or object recognition.

Course Content

Embedded Systems: Arduino + sensors + actuators

Introduction to IoT in Robotics

Understanding automation and control loops

Simulating real-world problems

Python for Robotics (simple logic with GPIO simulation)

Basic AI integration (voice control, face detection via tools like Teachable Machine)

Team Project: Smart farming robot / Automated delivery robot

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