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 |
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| 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?
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| ROS operating system | OpenCV image processing | Python programming |
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| 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
Documents / Resources
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YAHBOOM 390D7B97 Jetbot Mini Ros Smart Robot [pdf] Instruction Manual 390D7B97, 390D7B97 Jetbot Mini Ros Smart Robot, Jetbot Mini Ros Smart Robot, Mini Ros Smart Robot, Ros Smart Robot, Smart Robot, Robot |
