Free AI-assisted K12 Learning

Advanced Robotics and AI Applications


 Advanced robotics and AI projects combine engineering with computer science to explore modern technological applications.

 Description : Advanced robotics and AI projects integrate engineering, computer science, and mathematics to explore modern technological applications. Collaborative tasks challenge students to design and program intelligent systems.

Category : Science
Age : 12+
Difficulty Level : Normal

 Curriculum :
          Module 1: Foundations of Robotics and AI
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Section 1: History and Origins
- Lesson 1: The History of Robotics  
  Module 1, Section 1, Lesson 1 – The History of Robotics
- Lesson 2: The Emergence of AI  
  Module 1, Section 1, Lesson 2 – The Emergence of AI

Section 2: Fundamental Concepts
- Lesson 1: What Is Robotics?  
  Module 1, Section 2, Lesson 1 – What Is Robotics?
- Lesson 2: What Is Artificial Intelligence?  
  Module 1, Section 2, Lesson 2 – What Is Artificial Intelligence?

Section 3: Basic Components and Electronics
- Lesson 1: Understanding Electronic Components  
  Module 1, Section 3, Lesson 1 – Understanding Electronic Components
- Lesson 2: Sensors, Actuators, and Motors  
  Module 1, Section 3, Lesson 2 – Sensors, Actuators, and Motors

Section 4: Introduction to Programming Basics
- Lesson 1: Basics of Programming for Robotics  
  Module 1, Section 4, Lesson 1 – Basics of Programming for Robotics
- Lesson 2: Fundamental Algorithms and Logic  
  Module 1, Section 4, Lesson 2 – Fundamental Algorithms and Logic

Section 5: Safety, Ethics, and Best Practices
- Lesson 1: Safety in Robotics Projects  
  Module 1, Section 5, Lesson 1 – Safety in Robotics Projects
- Lesson 2: Ethical Considerations in AI  
  Module 1, Section 5, Lesson 2 – Ethical Considerations in AI


Module 2: Robotics Engineering Essentials
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Section 1: Mechanical Design Basics
- Lesson 1: Introduction to Mechanical Components  
  Module 2, Section 1, Lesson 1 – Introduction to Mechanical Components
- Lesson 2: Fundamentals of Material Selection  
  Module 2, Section 1, Lesson 2 – Fundamentals of Material Selection

Section 2: Electrical Systems and Power
- Lesson 1: Circuit Fundamentals  
  Module 2, Section 2, Lesson 1 – Circuit Fundamentals
- Lesson 2: Understanding Power Systems  
  Module 2, Section 2, Lesson 2 – Understanding Power Systems

Section 3: Control Systems Fundamentals
- Lesson 1: Basics of Control Theory  
  Module 2, Section 3, Lesson 1 – Basics of Control Theory
- Lesson 2: Introduction to PID Controllers  
  Module 2, Section 3, Lesson 2 – Introduction to PID Controllers

Section 4: Robotic Kinematics and Movement
- Lesson 1: Exploring Motion and Movement  
  Module 2, Section 4, Lesson 1 – Exploring Motion and Movement
- Lesson 2: Fundamentals of Kinematic Analysis  
  Module 2, Section 4, Lesson 2 – Fundamentals of Kinematic Analysis

Section 5: Assembly, Calibration, and Testing
- Lesson 1: Building and Assembling Your Robot  
  Module 2, Section 5, Lesson 1 – Building and Assembling Your Robot
- Lesson 2: Initial Testing and Calibration Procedures  
  Module 2, Section 5, Lesson 2 – Initial Testing and Calibration Procedures


Module 3: Introduction to AI and Machine Learning for Robotics
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Section 1: AI Fundamentals
- Lesson 1: Defining Artificial Intelligence  
  Module 3, Section 1, Lesson 1 – Defining Artificial Intelligence
- Lesson 2: Milestones in AI Development  
  Module 3, Section 1, Lesson 2 – Milestones in AI Development

Section 2: Basics of Machine Learning
- Lesson 1: Understanding Supervised and Unsupervised Learning  
  Module 3, Section 2, Lesson 1 – Understanding Supervised and Unsupervised Learning
- Lesson 2: Fundamental Machine Learning Algorithms  
  Module 3, Section 2, Lesson 2 – Fundamental Machine Learning Algorithms

Section 3: Data Collection and Sensor Integration
- Lesson 1: Techniques for Data Collection in Robotics  
  Module 3, Section 3, Lesson 1 – Techniques for Data Collection in Robotics
- Lesson 2: Processing Sensor Data for AI Applications  
  Module 3, Section 3, Lesson 2 – Processing Sensor Data for AI Applications

Section 4: Basics of Computer Vision
- Lesson 1: Introduction to Image Processing  
  Module 3, Section 4, Lesson 1 – Introduction to Image Processing
- Lesson 2: Getting Started with OpenCV  
  Module 3, Section 4, Lesson 2 – Getting Started with OpenCV

Section 5: Fundamentals of Voice Recognition and Interaction
- Lesson 1: Understanding Speech Recognition Basics  
  Module 3, Section 5, Lesson 1 – Understanding Speech Recognition Basics
- Lesson 2: Introduction to Natural Language Processing  
  Module 3, Section 5, Lesson 2 – Introduction to Natural Language Processing


Module 4: Integrated Systems and Programming
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Section 1: Robot Programming Languages
- Lesson 1: Introduction to Python for Robotics  
  Module 4, Section 1, Lesson 1 – Introduction to Python for Robotics
- Lesson 2: Basics of C++ for Robotics  
  Module 4, Section 1, Lesson 2 – Basics of C++ for Robotics

Section 2: System Integration Techniques
- Lesson 1: Connecting Hardware to Software  
  Module 4, Section 2, Lesson 1 – Connecting Hardware to Software
- Lesson 2: Overview of Communication Protocols  
  Module 4, Section 2, Lesson 2 – Overview of Communication Protocols

Section 3: Using Simulation Tools
- Lesson 1: Introduction to Robotic Simulators  
  Module 4, Section 3, Lesson 1 – Introduction to Robotic Simulators
- Lesson 2: Virtual Testing Environments  
  Module 4, Section 3, Lesson 2 – Virtual Testing Environments

Section 4: Embedded Systems Programming
- Lesson 1: Fundamentals of Microcontrollers  
  Module 4, Section 4, Lesson 1 – Fundamentals of Microcontrollers
- Lesson 2: Programming Embedded Systems  
  Module 4, Section 4, Lesson 2 – Programming Embedded Systems

Section 5: Troubleshooting and Debugging
- Lesson 1: Basic Debugging Techniques  
  Module 4, Section 5, Lesson 1 – Basic Debugging Techniques
- Lesson 2: System Diagnostics and Problem Solving  
  Module 4, Section 5, Lesson 2 – System Diagnostics and Problem Solving


Module 5: Project Design and Implementation
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Section 1: Project Planning and Management
- Lesson 1: Defining Project Goals and Objectives  
  Module 5, Section 1, Lesson 1 – Defining Project Goals and Objectives
- Lesson 2: Resource and Time Management  
  Module 5, Section 1, Lesson 2 – Resource and Time Management

Section 2: Conceptual Design and Ideation
- Lesson 1: Brainstorming and Ideation Techniques  
  Module 5, Section 2, Lesson 1 – Brainstorming and Ideation Techniques
- Lesson 2: Translating Ideas into Design Sketches  
  Module 5, Section 2, Lesson 2 – Translating Ideas into Design Sketches

Section 3: Prototyping Fundamentals
- Lesson 1: Building a Functional Prototype  
  Module 5, Section 3, Lesson 1 – Building a Functional Prototype
- Lesson 2: Iterative Testing and Refinement  
  Module 5, Section 3, Lesson 2 – Iterative Testing and Refinement

Section 4: Collaborative Project Execution
- Lesson 1: Working Effectively in Teams  
  Module 5, Section 4, Lesson 1 – Working Effectively in Teams
- Lesson 2: Managing Group Tasks and Responsibilities  
  Module 5, Section 4, Lesson 2 – Managing Group Tasks and Responsibilities

Section 5: Presentation and Peer Review
- Lesson 1: Preparing and Delivering a Project Presentation  
  Module 5, Section 5, Lesson 1 – Preparing and Delivering a Project Presentation
- Lesson 2: Engaging in Peer Review and Constructive Feedback  
  Module 5, Section 5, Lesson 2 – Engaging in Peer Review and Constructive Feedback