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Descripción
[Raspberry Pi 5 & ROS2 Robot Car] MentorPi T1 is powered by Raspberry Pi 5, compatible with ROS2, and programmed in Python, making it an ideal platform for AI robot development.
[High-Performance Hardware] Equipped with closed-loop encoder motors, TOF lidar, 3D depth camera, high-torque servos, and other advanced components to ensure optimal performance and efficiency.
[Advanced AI Capabilities] Supports SLAM mapping, path planning, multi-robot coordination, vision recognition, target tracking, and more, covering a wide range of AI applications.
[Autonomous Driving with Deep Learning] Utilizes YOLOv5 model training to enable road sign and traffic light recognition, along with other autonomous driving features, helping users explore and develop autonomous driving technologies.
[Empowered by Large AI Model, Human-Robot Interaction Redefined]
MentorPi deploys multimodal models with ChatGPT at its core, integrating 3D vision and AI voice interaction box. This synergy enhances its perception, reasoning, and actuation capabilities, enabling advanced embodied AI applications and delivering natural, context-aware human-robot interaction.
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.
Oradar MS200 Lidar
MentorPi features integrated Lidar for intelligent SLAM mapping and navigation. It expertly handles path planning, fixed-point navigation, and dynamic obstacle avoidance.
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
