Ubtech UGOT: AI & Modular Educational Robotics Kit (AI City Guardian version)

Description

AI City Guarding Kit

• 2 Decks
• 4 Models
• 60 Pieces

UGOT’s modular design and innovative knob lock facilitate rapid assembly, transforming one kit into versatile robotic models efficiently.

High-Performance Computing: Expanding AI Education

UGOT’s main control unit integrates CPU, GPU, and NPU chips, delivering 1TOPS of computing power. This enables the processing of multiple algorithms, advanced models, and offline training, making UGOT suitable for a wide range of learning scenarios with vast potential.

Exploring AI with Versatile Algorithms

With its high computing power and integrated algorithms, UGOT can recognize gestures, postures, faces, texts, and objects. This feature allows users to fully engage with a broad spectrum of AI functionalities.

Motion control

• Motion Control: Refers to the techniques and processes that manage the movement of parts of a robot or its entire structure.
• Self-balancing Car Algorithm: Enables a robot car to maintain balance on two wheels by automatically adjusting its tilt and angle in response to changes in its center of gravity.
• Odometry Algorithm: Calculates the position and orientation of the robot by analyzing the motion of its wheels or other components, commonly used in navigation.
• Robotic Arm Motion Algorithm: Controls the precise movements of a robotic arm, enabling tasks like picking, placing, and manipulating objects with high accuracy.
• Quadruped Locomotion Control Algorithm: Manages the movement of four-legged robots, optimizing stability, gait, and adaptation to different terrains.
• Wheeled-leg Locomotion Control Algorithm: Integrates features of both wheeled and legged designs, offering versatile movement capabilities that combine speed and terrain adaptability.

Vision

• QR Code Recognition: Enables the robot to scan and interpret QR codes, extracting embedded data like URLs or contact details.
• Facial Recognition: Identifies and verifies individual faces, useful for personalizing interactions or security measures.
• OCR (Optical Character Recognition): Converts images of text into machine-readable text, useful for reading signs, documents, and labels.
• License Plate Recognition: Identifies vehicle license plates from images, useful for security and parking management.
• Facial Feature Recognition: Detects specific features on a face, such as eyes, nose, or mouth, often used in emotion recognition or augmented reality.
• Gesture Recognition: Interprets human gestures, enabling the robot to respond to physical signals or commands.
• Color Recognition: Detects and identifies colors, useful for tasks requiring sorting or quality control.
• Posture Recognition: Analyzes the body position of individuals, useful for applications in fitness, health monitoring, or surveillance.
• Custom Model Training: Allows for the training of specialized AI models on custom data sets to perform specific tasks or improve existing functionalities.

Speech

• VAD (Voice Activity Detection): Identifies whether sound is human speech, enabling the robot to respond when spoken to.
• ASR (Automatic Speech Recognition): Converts spoken language into text, allowing the robot to understand and process spoken commands.
• TTS (Text-to-Speech): Converts text into spoken audio, enabling the robot to communicate verbally with users.
• NLP (Natural Language Processing): Processes and understands human language, helping the robot interpret and generate responses based on complex language inputs.
• 360° Far-Field Speech Recognition: Detects speech from any direction around the robot, ensuring it can hear and respond to users speaking from various positions.

 

Open Source Ecosystem for Unlimited Creativity

UGOT supports third-party open-source hardware like Micro Bit, Arduino, and Raspberry Pi, enhancing its versatility. Users can also create custom robots using DIY components, supported by an open Python SDK for further development.

Extended Battery Life for Unrushed Learning

Equipped with a 2600mAh battery, UGOT offers up to 2 hours of continuous usage, facilitating extended AI learning sessions.

Comprehensive Curriculum System

UGOT’s curriculum adheres to international standards such as CSTA and AI4K12, along with UBTECH’s Artificial Intelligence Knowledge Mapping, ensuring a structured and impactful learning experience. That includes:

• 15 Topics
• 30 class hours

Based on the problems that may be encountered in real life, the course constructs virtual story situations, guides the students to use AI technologies such as intelligent voice and machine vision to realize the various functions of UGOT to help the city to solve a variety of emergency problems and to cultivate students problem-solving ability and social responsibility.

The curriculum includes four sessions: “Ruin Escape” (8 class hours), “Searching for People in a Crowd” (8 class hours), “Ecological Protection” (6 class hours), and “Mission Accomplished” (6 class hours). Additionally, there is an active session titled “Community Rescue,” where students are encouraged to unleash their creativity and develop new emergency scenarios for the city.

For whom?

This course is specifically tailored for primary school students in grades 5 and 6. Designed to spark curiosity and foster innovation, it provides young learners with the unique opportunity to explore the world of AI technologies in a fun and engaging way. By participating, students will not only enhance their problem-solving skills but also develop a strong sense of social responsibility through practical, real-world applications. This program is perfect for empowering the next generation of creative thinkers and leaders, preparing them for a future where technology and human ingenuity intersect

Technical Specification

Component	Specification
CPU	Quad-core Cortex-A55, up to 1.8GHz, NPU 1TOPS
WiFi	2.4G/5.8G dual-band, 802.11 a/b/g/n/ac
BLE (Bluetooth)	Bluetooth 5.0
Memories	LPDDR4 2GB (RAM); eMMC 32GB (ROM)
Interface	USB 2.0 x 1, USB 3.0 x 1, UGOT Connector x 6, USB-C x 1, 9PIN x 1, GPIO x 1
Charging	P3.5 x 10 mm; 19V-1A
Operating Time	2.5 Hours
Camera	RGB Camera 720p
Sensors	3-axis accelerometer, 3-axis gyroscope, 3-axis geomagnetic sensor, ToF Sensor
Actuators	High-speed brushed DC servomotor x 4 (wheels), Brushed DC servomotors x 8 (joints)
Microphone	3-Microphone Array
Battery	2600mAh 11.1V lithium-ion rechargeable battery
Speaker	1W
Max Speed	160 cm/s