New X-Robot cars with Raspberry Pi Introduction (1)

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New X-Robot cars with Raspberry Pi Introduction

DS-X wheeled AI educational robot car--Small but complete.

 

The DS-X robot is an entry-level vehicle-shaped robot with a wheeled structure. The car body is compact and small, which is especially suitable for teaching scenes of indoor desktop. The whole car weighs 1.3kg and can reach a maximum speed of 1.5m/s. It has great advantages in racing competitions, just like a wild horse without the rein. The product is compatible with the commonly used Arduino, STM32, and Raspberry Pi three kinds of maker education hardware platforms. It opens a wealth of secondary development hardware interfaces and software API interfaces. It is compatible with more than 40 common IoT sensors. The programming method is simple and easy to understand. Incidental courses from shallow to deep. It is the first choice for entry-level maker of educational robots .
Features
*  Encapsulate the difficulties to started more easier
*  Strong expansibility, wide coverage of knowledge points
*  Complete functions, edutainment
Equipped with three commonly used cores for maker education platform
*  Raspberry Pi---An excellent learning platform for AI
*  Arduino---First choice for beginners
*  STM32---Connect to working application
Fully-equipped with teaching function
1. WiFi wireless remote control 10、Distance voltage display function     19. Gesture recognition  
2. WiFi wireless video transmission 11.  Real-time mode display function 20. Object tracking
3. Motor control 12. Headlight function 21. Object recognition
4. Servo control 13. Turn signal function 22. visual obstacle avoidance
5. Ultrasonic walking the maze 14. Voltage indication 23. 37 kinds of sensor expansion experiment
6. Ultrasonic ranging backhaul 15. Horn function
7. Ultrasonic distance measurement 16. Built-in music
8. Infrared line inspection function 17. PS2 handle control function
9. Infrared anti-drop function 18. Bluetooth control
Product parameter
Chassis: 
Drive mode: 4WD independent DC motor
Max speed: 1.5 m/s
Max climbing angle: 35 degrees
Material: aluminum alloy
Surface technology: anodizing
Camera
Pixel: 300,000
Resolution: 480P
Viewing angle: 100 degrees 
Interface: USB2.0
Video format: MJPEG
Digital Transmission System
Communication mode: WiFi/Bluetooth/PS2
Communication frequency: 2.400-2.4835GHz
Effective distance: 20-50 meters
Control method: APP/PC/PS2 handle
Main control system
Driver board: PWR. Multi-function voltage regulator driver expansion board
Main control platform: Arduino, STM32, Raspberry Pi
Programming: C/Python
Scalable IO: 12pcs
Regulated output: 5V 1.5A
Power
Battery type: lithium polymer power battery
Output voltage: 8.4V
Max output current: 5A
Battery capacity: 2200mAh
Overshoot and over discharge protection: included
Sensor
Infrared sensor: XR-D80NK
Infrared detection range: 0.5cm-15cm
Ultrasonic sensor: XR-04L
Ultrasonic detection range: 0-100cm
Car light: 8-bit three-color highlight LED
Illumination: 1000LX
Abundant course case (For beginner)
 
 Chapter 1 Getting to know the Raspberry Pi  4.2 String
1.1 Performance advantages of Raspberry Pi 4B 4.3 List
 1.2 Mission of Raspberry Pi  4.4 Dictionaries
 1.3 Raspberry Pi 4B parameters  4.5 tuple
 Chapter 2 Equipment Assembly 4.6 Conditional Statement
 2.1 Introduction to Raspberry-X series 4.7 Loop statement
 2.2 X series hardware interface description 4.8 Functions
2.3 X series hardware assembly  4.9 Class
 Chapter 3 Development Environment Establishment   4.10 Summary
 3.1 Preparation  Chapter 5 Lower Computer Source Code Learning
 3.2 Flash firmware 5.1 Motor
 3.3 Start Raspberry Pi  5.2 Infrared sensor
 3.4 Login method of Raspberry Pi  5.3 Ultrasonic
 3.5 Transfer between Raspberry Pi and Windows 5.4 MCU-Coprocessor
 3.6 System backup 5.5 Passive buzzer
 3.7 Multi-channel video configuration 5.6 OLED display
 3.8 Raspberry Pi WiFi configuration AP/Client mode 5.7 Servo 5.8 RGB color lights
 3.9 Writing Hello World on RPi 5.9 Voltage detection
 Chapter 4 Basic Python Syntax  5.10 Socket communication
 4.1 Variable

 

 GFS-X crawler AI educational robot car---Dash ahead to go what one yearns for

The GFS-X robot is an advanced vehicle-shaped robot with a crawler structure. The car body is large in size and easy to install various sensors and expansion modules. The whole cars weighs 2.5kg and the maximum speed can reach 0.8m/s. It is suitable for different application scenarios such as rugged roads, climbing, and crossing gully. The product is also equipped with the commonly used Arduino, STM32, and Raspberry Pi three maker education hardware platforms, open hardware interface and software API interface, GFS-X robot also has AI machine vision, allowing users to learn and expand visual line inspection, Artificial intelligence features such as face recognition and color recognition.

Features

Large size platform, easy to expand

* AI machine vision

* The crawler is shock-absorbing, like walking upon flat ground.

Equipped with three commonly used cores for maker education platform
*  Raspberry Pi---An excellent learning platform for AI
*  Arduino---First choice for beginners
*  STM32---Connect to working application
Fully-equipped with teaching function
1. WiFi wireless remote control 10、Distance voltage display function     19. Gesture recognition  
2. WiFi wireless video transmission 11.  Real-time mode display function 20. Object tracking
3. Motor control 12. Headlight function 21. Object recognition
4. Servo control 13. Turn signal function 22. visual obstacle avoidance
5. Ultrasonic walking the maze 14. Voltage indication 23. 37 kinds of sensor expansion experiment
6. Ultrasonic ranging backhaul 15. Horn function 24. Robotic arm function
7. Ultrasonic distance measurement 16. Built-in music 25. Visually identify colors
8. Infrared line inspection function 17. PS2 handle control function 26. Visual recognition line inspection
9. Infrared anti-drop function 18. Bluetooth c

 

Parameter

Chassis 

Size: 230*210*40mm

Weight: 2.5kg

Material: Aluminum alloy stamping and forming

Treatment process: anodic surface oxidation

Way of travel: crawler rear drive

Max speed: 0.8 m/s

Load capacity: 3kg   

  Camera

Pixel: 1.2 million hardware pixels

Resolution: 720P

Output interface: USB2.0

Video format: Mjpeg

Lens wide angle: 110 degrees       

 Digital Transmission System

 Communication mode: WiFi/Bluetooth/PS2

Communication frequency: 2.400-2.4835GHz

Effective distance: 40-80 meters

Control method: APP/PC/PS2 handle

Main control system

Driver board: PWR.

Multi-function voltage regulator driver expansion board

Main control platform: Arduino/STM32/Raspberry Pi

Programming language: C/Python

Scalable IO: 12pcs Regulated output: 5V 1.5A

Power

Battery type: lithium polymer power battery

Output voltage: 12V

Max output current: 5A

Battery capacity: 2200mAh

Overshoot and over discharge protection: included

Cascade mode: 3 strings of 18650

Robotic arm

Degrees of freedom: 4

Joint servo: XR-R015

Torque of single servo: 15KG

Clamping accuracy: 3°

Max clamping weight: 280g

Material: aluminum alloy

Surface technology: anodic surface oxidation (black)

Abundant curriculum system (For advanced)

 
Chapter 1 Know Arduino 4.6 Functions
1.1 What is Arduino 4.7 Input and output
1.2 Arduino program development process Chapter 5 Arduino Getting Started Example Walkthrough
1.3 Why use Arduino 5.1 Arduino control RGB lights
1.4 X series hardware introduction 5.2Sound control lights in corridor
Chapter 2 Equipment Assembly 5.3 Buzzer experiment
Chapter 3 Starting the Arduino Journey 5.4 LCD12864 character display
3.1 Set up a development environment 5. 5 DHT11 temperature and humidity detection
3.2 Introduction to Arduino IDE Chapter 6 X-series project case explanation
3.3 The first Arduino program 6.1 Motor experiment
3.4 Upload factory program 6.2 PS2 control experiment
Chapter 4 Arduino Basic Syntax 6.3 Infrared sensor experiment
4.1 Variables and constant light 6.4 Ultrasonic sensor experiment
4.2 Data type 6.5 Arduino and MCU communication protocol
4.3 Array 6.6 Arduino control RGB lights
4.4 Conditional judgment statement 6.7 Application of steering gear
4.5 Loop statement 6.8 Serial port data reception and analysis

 


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