
Réf. fabricant 21030953
Vendu par Hiwonder à 295.37 €. Livré en France, port, TVA et droits de douane éventuels compris, il revient à environ 384.44 €. Prix relevés le 2026-11-01.
Le coût livré est une estimation pour un article seul expédié en France métropolitaine ; seul le panier du vendeur fait foi.
| Article | 295.37 € |
|---|---|
| Frais de port | 25.00 € |
| TVA (20 %) | 64.07 € |
| Total livré | 384.44 € |
Estimation pour un article seul livré en France métropolitaine, expédié hors UE : des droits de douane et frais de dédouanement peuvent s'ajouter, facturés par le transporteur.
| Poids | 4.5 kg |
Read the MentorPi T1 tutorials: https://wiki.hiwonder.com/projects/MentorPi-T1/en/latest/. Product Description Hiwonder MentorPi T1 is a smart raspi car robot powered by Raspberry Pi 5 and supports ROS2. Equipped with tank chassis, high-speed closed-loop encoder motors, Lidar, a 3D depth camera, and large-torque servos, it delivers high-performance capabilities. These include SLAM mapping, path planning, vision recognition, and autonomous driving. With YOLOv11 model training, MentorPi T1 can detect road signs and traffic lights. MentorPi open source robot car also deploys a Multimodal Large AI Model to support more advanced embodied AI applications. To help you unlock its full potential, we offer comprehensive MentorPi T1 tutorials and videos designed to inspire and support your AI creative projects. Aurora930 Pro depth camera The 3D depth camera powers the AI visuals and handles advanced tasks like depth image data processing and 3D visual mapping/navigation. Raspberry Pi 5 Controller MentorPi robot is powered by Raspberry Pi 5 controller, allowing you to embark on motion control, machine vision, and OpenCV projects. COIN-D6 LiDAR MentorPi is equipped with a LiDAR for obstacle avoidance, target following, fixed-point and multi-point navigation, as well as path planning and global task navigation. High Performance Encoder Motor This motor combines robust power with a high-precision encoder, all housed in a protective end shell for extended durability and life. Dual-Controller Design for Efficient Collaboration Function List Large AI Model Meets SLAM Mapping/Navigation MentorPi chatgpt robot applies a multimodal large model to understand users' voice commands, enabling multi-point navigation. Once it arrives at the designated location, it uses a vision language model to gain a deep understanding of the surrounding objects and events. This approach greatly enhances the robot's intelligence, adaptability, and overall user experience, making it better suited to meet rea