Class 10 : Robotics and Ai
About Course
Welcome to the RobovexTech Advanced Robotics and Artificial Intelligence Course, a premier 150-day educational journey specifically engineered for Class 10 students. In an era where automation and machine learning define the global economy, this course provides the technical foundation and practical skills necessary to transition from a consumer of technology to a creator.
This industry-aligned program moves beyond basic hobbyist kits. It is a rigorous, comprehensive curriculum that merges mechanical engineering, electronic circuitry, C/C++ programming, and AI integration. Students will spend 150 days mastering the tools that power modern innovation, preparing them for future careers in STEM, Engineering, and Computer Science.
Comprehensive Curriculum & Modules
1. Electronics and Circuit Design
Before building complex robots, students must understand the “nervous system” of electronics. We cover:
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Fundamental laws of electricity (Ohm’s Law, Voltage, and Current).
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Component mastery: Resistors, Capacitors, Transistors, and LEDs.
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Breadboarding techniques and circuit troubleshooting.
2. Embedded Systems with Arduino (Uno & Nano)
The heart of our robotics program lies in microcontrollers. Students learn:
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Arduino IDE: Setting up the environment and uploading sketches.
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C/C++ Programming: Learning variables, loops, conditionals, and functions specifically for hardware control.
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Memory Management: Optimizing code for the Arduino Nano and Uno.
3. Sensors and Data Acquisition
Robots need to sense their environment. This module covers:
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Ultrasonic Sensors: For distance measurement and collision avoidance.
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Infrared (IR) & LDR: For line tracking and light-sensitive automation.
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PIR and DHT: For motion detection and environmental monitoring (IoT).
4. Advanced Robotics and Kinematics
Moving from stationary circuits to mobile machines:
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Motor Drivers: Controlling DC motors and Servos using L298N and similar drivers.
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Differential Drive Systems: Building 2-wheel and 4-wheel robot chassis.
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Robotic Arms: Understanding degrees of freedom (DoF) and mechanical leverage.
5. Artificial Intelligence and Machine Learning
We demystify AI by showing students how it interacts with the physical world:
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AI Fundamentals: How machines “learn” through data and pattern recognition.
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Model Integration: Using AI to make robots autonomous.
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Computer Vision Basics: Introducing how robots see and identify objects.
50+ Hands-On Projects
Theory is only 30% of the experience. The remaining 70% is dedicated to building. Major projects include:
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The Navigator: An autonomous obstacle-avoiding robot.
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The Pathfinder: A high-speed line-following robot.
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The Communicator: A Bluetooth-controlled vehicle operated via a custom Android/iOS app.
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Smart Home Hub: An IoT-based automation system for lights and appliances.
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The Guardian: An AI-powered security robot that recognizes movement patterns.
Learning Outcomes
By the end of this 150-day program, students will achieve the following:
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Technical Proficiency: Ability to read circuit diagrams and build hardware from scratch.
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Coding Expertise: Writing functional, bug-free C/C++ code for embedded systems.
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Analytical Thinking: Using engineering logic to troubleshoot complex technical errors.
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Portfolio Building: A collection of 50+ projects to showcase for future academic applications.
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AI Readiness: A foundational understanding of how AI models are deployed in real-world hardware.
Course Content
Foundations of Robotics & Electronic Systems
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History of Mechine , Robot , Sensor And Ai
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The Anatomy of a Robot: Input, Process, and Output
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Introduction to Basic Electronics: Voltage, Current, and Resistance
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Mastering Ohm’s Law and Circuit Calculations
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Identifying Components: Resistors, LEDs, and Breadboards