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UGV Beast Open-source Off-Road Tracked AI Robot for Raspberry Pi 4B/5 Dual Controllers All-metal Body Computer Vision

Beginner Selection RecommendationIt is recommended to purchase UGV Rover PT PI5 ROS2 Kit if you want to use Raspberry Pi as the host controller, or the UGV Rover PT Jetson Orin ROS2 Kit if you want to use NVIDIA Jetson Orin Nano as the host controllerBoth kits offer excellent reliability and are equipped with a high-torque 2-axis Pan-Tilt, D500 Lidar, and OAK-D Lite depth camera. We provide comprehensive basic functionalities and ROS2 tutorials to help beginners quickly learn and apply robotics

  • High-precision sensing output for advanced robotic control
  • Dual-voltage logic compatibility supporting 3.3V and 5.0V inputs
  • Integrates easily with standard I2C and SPI serial interfaces
  • Ultra-compact form factor suitable for miniature space setups
  • Factory-calibrated for immediate out-of-the-box prototyping
  • Low power consumption ideal for battery-operated smart devices
  • Robust electromagnetic interference (EMI) shield shielding
$609.99 $792.99 Save 23%
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Best For: Robotics developers, engineers, and electronics hobbyists looking for highly accurate spatial tracking, orientation, or environmental sensing.
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(855) I-BUY-ROBO (855) 428-9762
Take your robotics projects to the next level with the UGV Beast Open-source Off-Road Tracked AI Robot for Raspberry Pi 4B/5 Dual Controllers All-metal Body Computer Vision. This premium LIDAR and Distance Sensors component has been carefully selected and tested to meet the demanding standards of robotics engineers, students, and maker community creators. Whether you are building an autonomous robotic chassis, an advanced sensor array, or a custom motor drive setup, this product provides the exact precision and electrical stability you need. Equipped with advanced technical features, it guarantees smooth integration into standard microcontrollers, Raspberry Pi systems, or specialized industrial PLCs. Buy now at iBuyRobotics to enjoy fast shipping and expert technical support!

Use Cases

Autonomous navigation, self-balancing robots, drone flight stabilization, obstacle avoidance, and IoT tracking applications.

Compatibility Notes

Fully compatible with Arduino, Raspberry Pi, ESP32, STM32, and standard 3.3V/5V microcontroller logic levels.

Frequently Asked Questions