
Manufacturer part no. 6000201034
Listed by yahboom at €137.79. Delivered to France, including shipping, VAT and any customs duty, it comes to about €183.35. Prices last checked on 2026-09-16.
Delivered cost is an estimate for a single item shipped to mainland France; the seller's checkout is authoritative.
| Item | €137.79 |
|---|---|
| Shipping | €15.00 |
| VAT (20%) | €30.56 |
| Total delivered | €183.35 |
Estimate for a single item delivered to mainland France, shipped from outside the EU: customs duty and clearance fees may apply and are charged by the carrier.
Tutorials: MicroROS-V2 MicroROS V2 Robot is an intelligent mobile robot platform specifically designed for ROS2 teaching, robot development, and AI applications. It innovatively adopts a distributed architecture of "PC virtual machine + ESP32 + MicroROS," eliminating the need for expensive mainframes like Raspberry Pi and Jetson, enabling complete ROS2 development and significantly reducing learning costs. Leveraging MicroROS technology, the robot car can transmit sensor data from LiDAR, camera, and other sources to the PC-based ROS2 system in real time, enabling functions such as SLAM mapping, autonomous navigation, road network planning, and AI visual recognition. Furthermore, the product integrates the OpenClaw intelligent agent framework and a large AI multimodal large language model, supporting natural language interaction and agent application development, providing developers with a complete learning platform from robot control to AI applications. Cost-Effective ROS2 & MicroROS Learning No need expensive Jetson or Raspberry Pi control board. Only need use a Windows PC (macOS is not supported) to run the ROS2 environment while MicroROS handles communication with the robot. This architecture significantly reduces the cost of learning ROS robotics, making it ideal for students, educators, laboratories, and robotics beginners. SLAM Mapping, Autonomous Navigation & Road Network Planning Equipped with a TOF LiDAR, it supports real-time SLAM mapping, autonomous localization, path planning, and road network planning. Users can build maps and plan navigation routes, achieving a more intelligent and efficient autonomous robot navigation experience. AI Visual Recognition and Real-time Image Transmission The standard and superior versions include 2MP WiFi camera module, supporting AI vision applications such as OpenCV vision development, object recognition, color recognition, and visual tracking, enabling robots to possess environmental perception and intelligent interac


