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