Product Description

Jetbot Mini AI Vision Robot Car ROS Starter Kit(with NVIDIA Jetson Nano 4GB)

Description

JETBOT MINI is a ROS artificial intelligence robot based on the NVIDIA JETSON NANO board. Built-in ROS(robot operating system), OPENCV as the image processing library, Python3 as the main programming language. It can be developed through JupyterLab online programming tools. Users can manually adjust the pitch angle of camera, and can realize various functions such as Autopilot, color recognition, and face recognition. It also support mobile APP/handle/PC cross-platform interconnection control. In addition, we specially provide open source courses and corresponding source codes for this robot to help users easily get started with ROS and AI programming.


Features

1) ROS robot operating system, Python3 programming language.

2) Cost-effective hardware configuration: Can be directly inserted into Jetson NANO dedicated expansion board, TF card with JetbotMINI dedicated operating system, USB3.0 adapter, 1300Mbps drive-free network card, and large-capacity 18650 battery pack.

3) Multi interesting AI functions: Autopilot, color recognition, face detection, AR tag recognition, visual image beautification, etc.

4) Cross-platform interconnection: Mobile APP, handle (optional).

5) The structure is simple, easy to assemble.

6) Everyone can enjoy lots of tutorial materials and professional technical support for free.



Details


Packing list

  • Comments(0)
Upload photo
You can only upload 5 files in total. Each file cannot exceed 2MB. Supports JPG, JPEG, GIF, PNG, BMP
0 / 10000

    You might like

    • Sipeed LicheeRV Nano SG2002 WIFI6 Ethernet AI Visual RISCV (RV NANO-WE)
      $20.00 or 2000 Beans
      Redeem Now
    • Sipeed Tang FPGA PMOD Module LED Switch HDMI Camera Digital Tube HUB75E (PMOD Camera Kit)
      $8.00 or 800 Beans
      Redeem Now
    • Luckfox Pico Pro RV1106 Linux Micro Development Board, Integrates ARM Cortex-A7/RISC-V MCU/NPU/ISP Processors
      $12.00 or 1200 Beans
      Redeem Now
    • LuckFox Pico Plus RV1103 Linux Micro Development Board, Integrates ARM Cortex-A7/RISC-V MCU/NPU/ISP Processors, With Ethernet Port
      $10.00 or 1000 Beans
      Redeem Now
    • Luckfox Pico RV1103 Mini A Linux Micro Development Board, Integrates ARM Cortex-A7/RISC-V MCU/NPU/ISP Processors
      $7.00 or 700 Beans
      Redeem Now
    • LuckFox Pico RV1103 Linux Micro Development Board, Integrates ARM Cortex-A7/RISC-V MCU/NPU/ISP Processors
      $7.00 or 700 Beans
      Redeem Now
    • -11%
      Petoi Bittle: A Palm-sized Robot Dog (Speech recognition)
      $265.00 or 26500 Beans
      Redeem Now
    • LILYGO Watch-Keyboard-C3 | ESP32-C3 T-Watch Expansion Module Wireless Keyboard Development Board
      $46.00 or 4600 Beans
      Redeem Now
    • -12%
      T-Encoder Shield V1.0
      $7.00 or 700 Beans
      Redeem Now
    • LILYGO T-WATCH V3 Microphone IPS Capacitive Touch Screen 1.54" MCU32-GunColor
      $45.00 or 4500 Beans
      Redeem Now
    • Sipeed Tang Nano 9K FPGA kits(with 1.14 inch screen)
      $23.00 or 2300 Beans
      Redeem Now
    • Driver Breakout for micro:bit, drives motors and servos
      $10.00 or 1000 Beans
      Redeem Now
    • -13%
      Servo Driver for micro:bit, 16-Channel, 12-bit, I2C
      $13.00 or 1300 Beans
      Redeem Now
    • 4 Channel Infrared Tracking Sensor Module(No cable)
      $5.00 or 500 Beans
      Redeem Now
    • -16%
      Magicbit- ESP32 powered arduino compatible innovation platform
      $30.00 or 3000 Beans
      Redeem Now
    • World Of Module Programmable Sensor Kit (with micro:bit V2 board)
      $130.00 or 13000 Beans
      Redeem Now
    • Yahboom AI-Motion K210 Developer Kit
      $60.00 or 6000 Beans
      Redeem Now
    • 16 in 1 Building:bit Super kit(Including the Microbit V2 mainboard)
      $90.00 or 9000 Beans
      Redeem Now
    • -27%
      6WD Smart Shock Absorbing Chassis Car
      $80.00 or 8000 Beans
      Redeem Now
    • ESP32-S2-Kaluga-1 Development Board Kit
      $53.00 or 5300 Beans
      Redeem Now
    Product Name
    Link for reference
    Quantity