UGOT curriculum immerses students in the careers of AI Robotic Engineers. Whether applied for future careers in IT, healthcare, engineering, or business, the curriculum provides structured learning experiences that build foundational knowledge in emerging technologies. Toggle through the sections below to see what’s included in each unit.
Both UGOT kits come with the Foundations of AI curriculum, which does not require hardware for and is designed for students at various grade levels. Developed in alignment with the Five Big Ideas from AI4K12, these units introduce students to the basics of coding and AI through free resources and hands-on activities.
This curriculum unit challenges students to use block coding and the UGOT robots to complete several rescue missions. They will work together as a part of the ‘AI Rescue Team’ and overcome various challenges, applying AI concepts such as facial recognition, sound localization, sensor integration, and more throughout each lesson activity.
| Concept | Robot | Learning Outcome | UGOT Introduction | Transforming Car | Understanding the Transforming Car’s components and basic navigations |
|---|---|---|
| Autonomous Navigation | Transforming Car | Learning how to program autonomous navigation within robotics |
| Sound Localization | Transforming Car | Understanding sound localization and its importance in navigation |
| Mecanum Wheels (Flexible Movement) | Mecanum Wheel Car | Programming omnidirectional movement using mecanum wheels |
| Facial Recognition | Mecanum Wheel Car | Understanding fundamental principles of facial recognition and programming |
| Color Recognition | Mecanum Wheel Car | Grasping the key concepts of color recognition and how it’s used in robotics |
| Action Recording | Engineer Vehicle | Understanding programming through action recording using a mechanical arm |
| Image Recognition | Engineer Vehicle | Understanding the concepts of machine learning and how to train custom models |
| Cumulative Activity | Final lesson that ties all previous concepts learned into one final mission | |
In this unit, students will program the UGOT robots using python coding and complete several space exploratory missions. They will work together as a part of the ‘Red Planet Pioneers’ and overcome various challenges, applying AI concepts such as natural language processing, sound localization, sensor integration, and more throughout each lesson activity.
| Concept | Robot | Learning Outcome | UGOT Introduction | Transforming Car | Getting familiar with UGOT’s hardware and connecting to uPython |
|---|---|---|
| Programming Navigation | Transforming Car | Navigating UGOT using programming and the remote-control features |
| Gyroscopic Stabilization | Wheeled-Legged Robot | Programming the gyroscope and learning how it’s used in self-balancing robots |
| Computer Vision | Wheeled-Legged Robotr | Understanding the concepts of computer vision and how it's used to detect objects |
| ToF Sensors & Computer Vision | Spider | Working with the ToF sensor and understanding how computer vision aids navigation |
| Machine Learning & Image Recognition | Spider | Building a machine learning model, enabling UGOT to make decisions in real-time |
| Facial & Emotion Recognition | Quadruped | Understanding and programming recognition algorithms |
| Natural Language Processing | Quadruped | Using natural language processing to develop an autonomous robot |
| Cumulative Activity | Final lesson that ties all previous concepts learned into one final mission | |
