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
-------------------------------------------
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
-------------------------------------------
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
----------------------------------------------------------------
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
----------------------------------------------
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
--------------------------------------------
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