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Flexible And Expandable 6x4 Off-Road UGV, With Extension Rails and ESP32 Slave Computer, 6 wheels 4WD Mobile Robot Chassis

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Flexible And Expandable 6x4 Off-Road UGV, With Extension Rails and ESP32 Slave Computer, 6 wheels 4WD Mobile Robot Chassis

The Waveshare UGV02 is a 6-wheel, 4WD off-road mobile robot chassis designed for robotics development and autonomous navigation projects. With flexible rubber tyres, independent suspension, and four driven wheels, it handles rough terrain, heavy loads, and shock absorption with ease.

The chassis includes an ESP32-based driver board (slave computer) with onboard Wi-Fi and Bluetooth, serial bus servo outputs, PWM signal control, and a TF card slot. It supports multiple host computers including Raspberry Pi, Jetson Nano, and Jetson Orin Nano, communicating via serial port. Two 1020 European-standard aluminium profile extension rails provide mounting points for cameras, sensors, arms, and custom hardware.

Key Features

  • 6 Wheels × 4WD – Increased ground contact and traction for off-road terrain
  • Flexible Rubber Tyres – Shock absorption for rough and uneven surfaces
  • ESP32 Slave Computer – Onboard Wi-Fi, Bluetooth, serial bus servo driver, PWM output, and TF card slot
  • Multi-Host Support – Compatible with Raspberry Pi, Jetson Nano, Jetson Orin Nano, and more
  • 3S UPS Power Module – Supports 3× 18650 Li batteries in series with uninterruptible power and simultaneous charge/discharge
  • Extension Rails – 2× 1020 European-standard aluminium profile rails for mounting accessories
  • Open Source – All code available for secondary development

Ideal For

  • Autonomous navigation and SLAM projects
  • Outdoor robotics and terrain exploration
  • ROS-based robot development
  • AI and computer vision mobile platforms

Package Contents

  • 1× UGV02 6-Wheel 4WD Robot Chassis (with ESP32 driver board)
  • 2× 1020 Aluminium Profile Extension Rails
Note: 18650 batteries and host computer (Raspberry Pi, Jetson, etc.) are not included. This item cannot be shipped express outside Sydney Metro due to weight.

Resources

$282.22
Flexible And Expandable 6x4 Off-Road UGV, With Extension Rails and ESP32 Slave Computer, 6 wheels 4WD Mobile Robot Chassis
$282.22

Product Information

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Description

The Waveshare UGV02 is a 6-wheel, 4WD off-road mobile robot chassis designed for robotics development and autonomous navigation projects. With flexible rubber tyres, independent suspension, and four driven wheels, it handles rough terrain, heavy loads, and shock absorption with ease.

The chassis includes an ESP32-based driver board (slave computer) with onboard Wi-Fi and Bluetooth, serial bus servo outputs, PWM signal control, and a TF card slot. It supports multiple host computers including Raspberry Pi, Jetson Nano, and Jetson Orin Nano, communicating via serial port. Two 1020 European-standard aluminium profile extension rails provide mounting points for cameras, sensors, arms, and custom hardware.

Key Features

  • 6 Wheels × 4WD – Increased ground contact and traction for off-road terrain
  • Flexible Rubber Tyres – Shock absorption for rough and uneven surfaces
  • ESP32 Slave Computer – Onboard Wi-Fi, Bluetooth, serial bus servo driver, PWM output, and TF card slot
  • Multi-Host Support – Compatible with Raspberry Pi, Jetson Nano, Jetson Orin Nano, and more
  • 3S UPS Power Module – Supports 3× 18650 Li batteries in series with uninterruptible power and simultaneous charge/discharge
  • Extension Rails – 2× 1020 European-standard aluminium profile rails for mounting accessories
  • Open Source – All code available for secondary development

Ideal For

  • Autonomous navigation and SLAM projects
  • Outdoor robotics and terrain exploration
  • ROS-based robot development
  • AI and computer vision mobile platforms

Package Contents

  • 1× UGV02 6-Wheel 4WD Robot Chassis (with ESP32 driver board)
  • 2× 1020 Aluminium Profile Extension Rails
Note: 18650 batteries and host computer (Raspberry Pi, Jetson, etc.) are not included. This item cannot be shipped express outside Sydney Metro due to weight.

Resources