YAHBOOM 390D7B97 Jetbot Mini Ros Smart Robot Instruction Manual
- June 12, 2024
- YAHBOOM
Table of Contents
Based on JETSON NANO 4 GB
390D7B97 Jetboats Mini Ros Smart Robot
Instruction Manual Al visual recognition Deep learning Get start with
ROS robot system
Version Configuration Description
| Without Jetson NANO | With Jetson NANO 4GB |
|---|---|
| 
It is suitable for users who already have JETSON NANO 2GB or 4GB board.| A
full set of configuration is ready to play. It is suitable for users who do
not have Jetson NANO board.
A series of Al functions
Face Detection / Color Recognition / Face Tracking Color Tracking / Object
Recognition Autopilot / PID Debugging
JETBOT MINI Function List
The above functions with ” ” all provide case tutorials with ROS system, and other functions also provide case tutorials with the ordinary development environment
Product comparison
| JETBOT-MINI| JETBOT
---|---|---
Main control board| JETSON NANO 4GB
UBUNTU version| UBUNTU18.04LTS
ROS version| melodic| None
Programming language| Python
Al function| Gesture recognition/face detection/face tracking/object
recognition/Gesture
recognition/face detection/object recognition| Color recognition/color
tracking/object following/autonomous obstacle avoidance Color
recognition/color following/autopilot Autonomous driving/model training
OLED| 0.91 inch 12832 OLED
Wireless network card| USB 3.0 free drive WIFI Wireless network card
2.4G/5G1300M| M.2 interface 8265AC NGW Dual-band dual-mode wireless network
card 867M
Remote control method| Mobile APP/Handle/Webpage/ROS keyboard control| Mobile
APP/handle/web control
Communication method| WIFI LAN| WIFI LAN
Safety protection| Surge protection/Reverse connection protection/Motor servo
locked/Short circuit protection| Surge protection/reverse connection
protection/Servo locked/short circuit protection
Drive method| Dual motor differential
Power supply| 12.6V power lithium battery pack 2000mah
(T-type interface, with over-current protection)
Wheel type| wheel| track
Chassis| Aluminum alloy chassis| Aluminum alloy chassis
Motor| TT DC Gear Motor
Dual output shaft/reduction ratio 1: 48| L-type 370 motor
12V260 RPM strong magnetic high torque
Camera platform| One DOF manual rotation| Three DOF electric control
Servo| None| R0005 bus metal servo*2
Sensor| On-board LED lights| On-board LED light/RGB light bar
Purchase Advice| Basic version is cost-effective. Based on the development of
the ROS system, it not only learns the introductory course of ROS robot, but
also can be used to learn artificial intelligence and image processing.|
Advanced version, comes with top configuration, better Al computing power. It
can deep learning artificial intelligence, image processing algorithms, Al
model training and other visual Al gameplays.
WHAT CAN YOU LEARN FROM JETBOT MINI ROBOT?
ROS operating system| OpenCV image processing| Python programming
Machine Vision=applications| Deep learning| PID control
Hardware Configuration
Product specifications
Product Size
Product parameter
| Main control board | JETSON NANO 4GB | Working time | 180 mins |
|---|---|---|---|
| microprocessor | Quad-core ARM a57+128-core NVI DIA Maxwell | Power interface |
T-type power supply interface DC4.0.1.7 charging port
Al computing power| 472GFLOPS| Remote control
method| Mobile APP/PC computer
Operating system| Ubuntu18.04LTS| Communication| WIFI network (LAN/AP)
Input 1| 8 million pixels 77 ° IMX219 CSI camera| Output| OLED display/buzzer
TT motor interface/ servo interface
Safety protection| Over-current protection| Motor scheme| Carbon brush TT
motor
Power supply| 12.6V 2200mah| Car material| Anodized aluminum alloy
Assembled weight| 708g| Assembled size| 170.5’126.5’146.5mm
Shipping list
Item List
Tutorial:
Yahboom Jetbot MINI Robot