Zevon EduBot
  • AI-powered vision-based quadrupedal bionic robot dog, intelligent programmable robot,
  • AI-powered vision-based quadrupedal bionic robot dog, intelligent programmable robot,
  • AI-powered vision-based quadrupedal bionic robot dog, intelligent programmable robot,
  • AI-powered vision-based quadrupedal bionic robot dog, intelligent programmable robot,
  • AI-powered vision-based quadrupedal bionic robot dog, intelligent programmable robot,
  • AI-powered vision-based quadrupedal bionic robot dog, intelligent programmable robot,
  • AI-powered vision-based quadrupedal bionic robot dog, intelligent programmable robot,
  • AI-powered vision-based quadrupedal bionic robot dog, intelligent programmable robot,
  • AI-powered vision-based quadrupedal bionic robot dog, intelligent programmable robot,
  • AI-powered vision-based quadrupedal bionic robot dog, intelligent programmable robot,

AI-powered vision-based quadrupedal bionic robot dog, intelligent programmable robot,

AI-powered vision-based quadrupedal bionic robot dog, intelligent programmable robot, large-scale model using ROS and Raspberry Pi, Python.

Model:
Basic version
Graphical programming version supports Arduino programming
Voice control version
AI Voice Large Model Control Version: Voice Conversation Enabled
AI Vision Edition - Built-in Raspberry Pi 4B4G
AI Vision Edition - Built-in Raspberry Pi 5/4G
AI Vision Edition - Built-in Raspberry Pi 5/8G
ROS Advanced - Built-in Raspberry Pi
ROS Pro - Built-in Raspberry Pi

USD 228-961

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AI large-scale model bionic mechanical dog

Radar mapping and navigationROS operating systemAI visual recognition and interaction
Voice interaction controlInverse kinematics algorithmBionic gait movement


Product Features

ROS Operating System 

An open-source meta-operating system

 providing the services an operating 

system should offer.

OpenCV, 

a mainstream deep learning framework, 

can meet the needs of most artificial

 intelligence projects.


Mapping and Navigation

Built-in mapping and navigation algorithm 

packages Autonomous obstacle 

avoidance during navigation

Built-in IMU 

Built-in IMU sensor allows for real-time 

adjustment of the device's posture.

Serial bus servos 

13 high-performance serial bus servos 

with powerful motors.

Python programming

A mainstream programming language

Numerous developer communities

Raspberry Pi 

Powerful Raspberry Pi performance 

supports faster and smoother operation.

TOF LiDAR 

Capable of mapping, navigation, path 

planning, and other ROS SLAM functionalities.

3D real-scene mapping

Can be used with depth cameras

To achieve 3D mapping


Package differences



FunctionBasic Edition

Graphica

Programming Edition

AI Vision Edition

ROS Advanced EditionROS Professional Edition
APP Control
Wi-Fi Real-Time Video
Fun Motions
Custom Motions
Attitude Angle Control
Camera Gimbal
Height Control
Stair Climbing
Gait Adjustment

Graphical Programming

Infrared Sensors
Ultrasonic Sensors
LED Lights
Visual Line Following
Voice Control

Wireless Handheld

Control

Face Recognition
Color Recognition
QR Code Recognition
Python Programming
ROS System

SLAM Mapping and 

Navigation

Visual SLAM


Modular design

The Corgi robot dog features a serial port and module expansion slots, 

allowing for the assembly and building of various programming modules, thus expanding creative ways to play.

AI Main Control ModuleROS Main Control ModuleGraphical Module

Voice moduleRGB cameraDepth camera


High-performance servo with metal casing


1. Durable Aluminum Alloy Shell

The Corgi robot dog features a durable aluminum alloy shell, ensuring stability and safety in various environments, 

making it suitable for flexible operation in multiple scenarios.

2. 13-DOF Motion Joints

Equipped with 13 high-performance servos, each leg is connected to the elbow, shoulder, and three joints via a serial bus servo.

Using inverse kinematics algorithms, complex movements can be precisely achieved, 

ensuring overall fluidity and closely resembling the movement posture of a realistic quadruped.



Video pan-tilt

The robot dog's head gimbal can rotate approximately 180 degrees, and 

it has a built-in camera that transmits video in real-time via WiFi.


Adjustable Height

The robot dog supports height adjustment, allowing it to flexibly

 navigate through suspended obstacles.


Composite posture motion control

Supports simultaneous combined control of speed and angle in the X, Y,

 and Z directions, enabling a wide range of running movements.

Fun High-Leg Climbing Stairs

The robot dog has a built-in stair-climbing function. While walking,

 it can climb stairs from flat ground by raising its legs high.


Gait Patterns

The robot dog has multiple built-in gaits: Pace, Walk, Trot, and Hop. 

This allows the robot dog to adapt to different environments and task requirements.

1) Walk gait: Stepping forward 

with overlapping steps.

2) Trot gait: Rapid alternating 

left and right movemen

3) Hop gait: Leaning forward 

with a bouncing motion.

4) Pece gait: Slow alternating

 left and right movement


Expandable Visual AI Features

Optional RXR RPIExtend BOX AI Vision Edition Expansion Box

Integrates a built-in Raspberry Pi development board, showcasing a wealth of machine vision AI features 

and demonstrating the charm of artificial intelligence.

Voice Control

Control the robot dog to perform actions via voice commands

Face Recognition

Perform facial recognition via app/voice control.

Color Recognition

Control the robot dog to perform actions via voice commands

QR Code Recognition

It can recognize QR codes via an application or voice commands.

Visual line following

The robot dog can be instructed to recognize colors via an application or voice commands.

Gamepad control

Control the robot dog to perform actions via gamepad


Forward/Inverse Kinematics Algorithm Development

The Corgi robot dog's legs use 12 serial bus servos to control the rotation of each joint. Based on the biomechanical characteristics of the foreleg bones of real-life quadrupeds, these servos are linked to the shoulder and leg, achieving a very close resemblance to realistic biological movements. Using forward/inverse kinematics algorithms, the angles of each joint are calculated, and then, through a hardware interface, the servos of each leg joint are driven to rotate to the corresponding angles.

Built-in ROS and Machine Vision Basic Tutorial

11 lessons (PDF lecture notes + videos + source code) Getting 

Started with ROS Made Easy (Exclusive for AI Vision and ROS Editions)

Expandable Graphical Programming

An optional RBlockExtendBox graphical programming expansion box 

is available, allowing programming of the robot dog using XRBlock graphical programming software based on Scantch 3.0. Suitable for beginners in

 programming, especially elementary and middle school students.

LiDAR Mapping and Navigation

It not only supports Hector algorithm mapping, but also allows for 

secondary development and installation of other algorithms 

such as Gmapping and Cartograph, enabling path planning, 

point-to-point navigation, and multi-point navigation.

Multi-point navigation and dynamic obstacle avoidance

TOF lidar can detect the surrounding environment in real time and 

dynamically avoid obstacles during navigation.

Upon detecting an obstacle, it replans the path using a local path planner.

Built-in IMU Attitude Sensor

The ROS expansion box is equipped with an IMU sensor, which can

 obtain attitude data through the IMU; it employs a closed-loop 

control algorithm to monitor the robot's attitude in real time and

 automatically keep the robot dog's body in a balanced state.

Equipped with a 3D depth camera

The robot dog's head can be optionally equipped with an Orbbec series 

depth camera, which not only enables all AI vision functions of an RGB 

camera, but also allows for depth image data processing, RTAB 3D visual 

mapping, navigation, and other depth vision functions.

RTABSLAM 3D Vision Mapping and Navigation

The robot dog uses the RTABSLAM algorithm to fuse visual and 

radar data to construct a 3D color map. The robot can autonomously navigate and avoid obstacles within the map, supporting global

 relocalization and autonomous localization functions.

Depth Image Data Point Cloud Image

Through the corresponding depth camera, depth images, color images,

 point cloud images, and other data can be acquired from the camera.


Course List

1. Basic Courses

Understanding the Robot DogIdentify parts of the robot dog , Robot parameters
Remote Control SetupInstall mobile app , Connect mobile app with robot , Parameter adjustment
Hardware SetupInstall Raspberry Pi ROS expansion board and camera
PowerCharging

2. Advanced Courses

Basic Operations

Video streaming , Move forward , Move backward , Turn left , Turn right , Move left , Move right , Raise head , Tilt left , Tilt right , 

Combined movements , Forward kinematics control , 

Pan-tilt (gimbal) control , Wireless controller control , Keyboard control

Fun Operations

Function , Punch , Wave hand , Nod , Defense , Beckon , Throw , Pick up , Stretch , Urinate action , Jump , Play dead

3. Quadruped Robot Principles and Architecture Learning

System ArchitectureHardware architecture , Software architecture
Motion Theory

Quadruped robot gait , Center of mass dynamics , Forward / inverse

kinematics algorithm introduction

4. ROS SLAM Quadruped Robot Mapping and Navigation

ROS Mapping & Navigation

Install virtual machine , Connect robot dog , Check network , Synchronize system time between robot and VM , LiDAR mapping , LiDAR navigation

5. ROS SLAM Quadruped Robot Secondary Development

Development Tool Preparation

Software preparation , Hardware preparation , Remote connection

Basic Secondary Development Operations

Code framework , End controller process , Modify code , Run code , 

Principle block diagram , TF tree relationship

Advanced SLAM Development

Depth camera usage , Robot self-balancing , RTABMAP visual SLAM 

mapping , KCF target detection and tracking , Face recognition , 

Edge detection , ArUco augmented reality , ROS and lower-level 

communication interface , Gesture recognition


Cross-platform control

1. Voice Interaction

Combined with a voice module, it enables voice control and voice interaction functions.

Different actions and gameplay can be completed via voice commands. (Exclusive to AI Vision and Voice Control versions)

2. App Control

The Corgi robot dog supports control via a mobile phone and tablet app, 

and provides detailed instructions to help you quickly use all the robot dog's functions.

3. Gamepad Control

With a gamepad, similar control effects to those achieved with a mobile app can be achieved 

(exclusive to the AI Vision and ROS versions).

1. Forward Motion7. Video Display Area13. Video Display Area
2. Preset Fun Motions8. Omnidirectional Movement Control Area14. Fun Actions
3. Attitude Angle Control9. Gimbal and Height Adjustment15. Default Gameplay
4. Gimbal Control Bar10. Preset Gait Control16. Face Recognition
5. Altitude Control Bar11. Servo Parameter Interface Adjustment Buttons17. QR Code Recognition
6. Angle and Direction Control Area12. Omnidirectional Movement Control Area18. Camera Line Following


Built-in multiple fun actions

GoodbyeSay helloJumpingLucky Cat

SurrenderPlay deadStretchingPeeing


Secondary Development Stage


The robot dog has a dedicated serial port for further development and expansion. It provides APIs for almost all of the robot dog's functions, including basic movements, fun movements, forward/backward movement control, and head control. It can connect to external processors such as Arduino, STM32, Raspberry Pi, and Jetson Nano via the serial port to receive and process control commands sent from those devices. You can control the robot dog using familiar programming languages such as C and Python.


Application scenarios

Practical Training

Suitable for practical training 

courses in fields such as the 

Internet of Things and Electronic 

Information.

High-End Toys

As high-end intelligent toys,

 they are used for entertainment

 and as gifts.

Science Popularization 

Exhibitions

Suitable for science museums,

cience festival performances and

 experiences


Competitive Competitions

Suitable for whitelisted events,

 provincial competitions, national 

competitions, and other science

 and technology competitions


Product Parameters

Product NameCorgi Quadruped Dog – Keji Intelligent Quadruped Robot DogOperating TimeAbout 1 hour
Main ProcessorDual-core Xtensa LX6 CPUSRAM520 KB
Main Frequency240 MHzPSRAM4 MB
Core ControllerESP32InterfacesUART / SPI / I2C / PWM
Control MethodsiOS / Android App / Controller (AI Vision Version) / VoiceServo ModelXR-S300
Control Distance10 mCameraWide-angle camera, 480P, 2MP
Degrees of Freedom13 DOFProgramming LanguagesPython / Arduino C
Battery Capacity2200 mAhGraphical ProgrammingXR Block Scratch


Shipping list

1. Corgi Intelligent Quadruped Robot Dog / 2. User manual and charger / 3. Packaging box and warranty card

4. AI Vision Package (Optional): AI Vision Module + RGB Camera + Gamepad

5. Graphical Programming Package (Optional): Graphical Programming Module

6. ROS Advanced Package (Optional): ROS Controller Module + RGB Camera + Gamepad

7. ROS Professional Package (Optional): ROS Main Module + Depth Camera + Handheld Controller


Supplier Information

Email:ZevonEduBot@ttbridge.com

Tel:17734786008

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