Hiwonder MentorPi T1 Raspberry Pi Robot Car – Tank Chassis, ROS2 AI Coding Robot with Large AI model ChatGPT, SLAM and Autonomous Driving
【Raspberry Pi 5 & ROS2 Robot Car】 MentorPi is powered by Raspberry Pi 5, compatible with ROS2, and programmed in Python, making it an ideal platform for AI robot development.
【Multiple Chassis Configurations】 Supports both Mecanum-wheel, Tank and Ackermann chassis, allowing flexibility for various applications and meeting diverse user needs.
【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 Al Model, Human-Robot Interaction Redefined】 MentorPi deploys multimodal models with ChatGPT at its core, integrating 3D vision and Al 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 not only enables AI visual functions but also supports advanced features like depth image data processing and 3D visual mapping and navigation.
Raspberry Pi 5 Controller
MentorPi is powered by Raspberry Pi 5 controller allowing you to embark on motion control, machine vision, and OpenCV projects.
Oradar MS200 Lidar
MentorPi is equipped with Lidar, which can realize SLAM mapping and navigation, and supports path planning, fixed-point navigation and dynamic obstacle avoidance.
High Performance Encoder Motor
It offers robust force, has a high-precision encoder, and includes a protective end shell to ensure an extended service life.
| Monocular Camera Parameters | |
| Resolution | 30W(640*480) |
| Light-sensitive chip | GC0308(gcoreinc) |
| Camera type | HS-256-650(HS) |
| Aperture | 2.0 |
| Focus | 1.7mm |
| Focal field of view angle | 170° |
| Distortion | -83% |
| Camera interface | USB |
| Size | 30*27*25mm |
| LFD-01 Servo Parameters | |
| Rotation speed | ≤0.11sec/60° 6V |
| Anti-blocking protection | Power cut protection after 5 seconds of stall |
| Rotation range | 0-180 degrees |
| Communication method | PWM pulse-width control |
| Gear type | Plastic shaft |
| Working voltage | 4.8-6V |
| Maximum torque | ≥1.4kg.cm 6V |
| No-load speed | ≤0.11sec/ 60° 6.0V |
| Size | 22.3x12.0x23.2mm |
| Aurora930 Pro Specifications | |||||
| Module parameter | Size | 76.5 × 20.7 × 21.8 mm | Imaging performance | Depth data format | 16-bit Raw |
| Baseline | 40mm | Depth resolution/Frame rate | 640×400 @12fps (FOV: 74°×51°) | ||
| Interface | USB 2.0 Wafer connector | RGB data format | NV12 | ||
| Depth accuracy | ±8mm @1m | RGB resolution /Frame rate | 640×400 @12fps (FOV: 74°×51°) | ||
| Working distance | 15–300 cm | IR data format | 8-bit Raw | ||
| Operating temperature | -10℃ to 55℃ | IR resolution /Frame rate | 640×400 @12fps (FOV: 74°×51°) | ||
| Operating humidity | 0% to 95% RH (non-condensing) | Firmware capabilities | Firmware upgrade | Supports USB OTA Update | |
| Operating illuminance | 3–80,000 Lux | Hot start delay | <300ms | ||
| Power supply | 5V±10%, 1.5A | System compatibility | OS compatibility | Linux / ARMv8 / ROS / Windows | |
| Power consumption | Average <1.6W | ||||
| Safety rating | Class 1 Laser safety | ||||
| Aurora930 Pro Specifications | ||
| Module parameter | Size | 76.5 × 20.7 × 21.8 mm |
| Baseline | 40mm | |
| Interface | USB 2.0 Wafer connector | |
| Depth accuracy | ±8mm @1m | |
| Working distance | 15–300 cm | |
| Operating temperature | -10℃ to 55℃ | |
| Operating humidity | 0% to 95% RH (non-condensing) | |
| Operating illuminance | 3–80,000 Lux | |
| Power supply | 5V±10%, 1.5A | |
| Power consumption | Average <1.6W | |
| Safety rating | Class 1 Laser safety | |
| Imaging performance | Depth data format | 16-bit Raw |
| Depth resolution/Frame rate | 640×400 @12fps (FOV: 74°×51°) | |
| RGB data format | NV12 | |
| RGB resolution /Frame rate | 640×400 @12fps (FOV: 74°×51°) | |
| IR data format | 8-bit Raw | |
| IR resolution /Frame rate | 640×400 @12fps (FOV: 74°×51°) | |
| Firmware capabilities | Firmware upgrade | Supports USB OTA Update |
| Hot start delay | <300ms | |
| System compatibility | OS compatibility | Linux / ARMv8 / ROS / Windows |
Wrapped Rear Tail Shell
It can effectively protect the PCB circuit and magnetic ring at the end of the motor from external influences, effectively improving the safety and service life of the motor.
Permanent Magnet Brushed Motor
The permanent magnet DC motor has fast starting response speed, large starting torque and smooth speed change.
High-precision Magnetic Encoder
The motor is equipped with a high-precision magnetic encoder, has strong horsepower, high precision, and strong anti-interference ability.
Durable Metal Gear
The motor incorporates a full metal gear and metal output shaft, reducing power consumption and extending the motor's service life.
| Chassis type | Tank chassis |
| Size | 27.8*19.5*18.2cm |
| Weight | 1.88kg |
| Motor | Hall encoder DC geared motor |
| Encoder | AB-phase incremental Hall encoder |
| Material | Full metal aluminum alloy chassis, anodizing process |
| ROS controller | RRC Lite controller + Raspberry Pi 5 controller |
| Camera | Aurora930 Pro 3D depth camera |
| Lidar | Oradar MS200 |
| Battery | 7.4V 2200mAh 10C LiPo battery with protection board (Continuous operating time: up to 60 minutes) |
| OS | Raspberry Pi OS + Ubuntu 22.04 LTS + ROS2 Humble (Docker) |
| Software | iOS/ Android app |
| Communication method | WiFi/ Ethernet |
| Programming language | Python/ C/ C++/ JavaScript |
| Storage | 64GB TF card |
| Servo | LFD-01 anti-stall servo (monocular camera version) |
| Materials | Development tutorials; video tutorials; ROS source code, system image and software |
| Package size & weight | around 3.2kg; 39.7*24.4*22cm |
| Item | Specification |
| Model | MentorPi T1(Depth camera version) |
| Chassis type | Tank chassis |
| Size | 27.8*19.5*18.2cm |
| Weight | 1.88kg |
| Motor | Hall encoder DC geared motor |
| Encoder | AB-phase incremental Hall encoder |
| Material | Full metal aluminum alloy chassis, anodizing process |
| ROS controller | RRC Lite controller + Raspberry Pi 5 controller |
| Camera | Aurora930 Pro 3D depth camera |
| Lidar | Oradar MS200 |
| Battery | 7.4V 2200mAh 10C LiPo battery with protection board (Continuous operating time: up to 60 minutes) |
| OS | Raspberry Pi OS + Ubuntu 22.04 LTS + ROS2 Humble (Docker) |
| Software | iOS/ Android app |
| Communication method | WiFi/ Ethernet |
| Programming language | Python/ C/ C++/ JavaScript |
| Storage | 64GB TF card |
| Servo | LFD-01 anti-stall servo (monocular camera version) |
| Materials | Development tutorials; video tutorials; ROS source code, system image and software |
| Package size & weight | around 3.2kg; 39.7*24.4*22cm |
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