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Hiwonder Raspberry Pi 5 Robot Car MentorPi M1 Mecanum in Bangladesh
Hiwonder Raspberry Pi 5 Robot Car MentorPi M1 Mecanum in Bangladesh

Hiwonder Raspberry Pi 5 Robot Car MentorPi M1 Mecanum

SKU: 250324004740

Category: AI Development Kit

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Product details of Hiwonder Raspberry Pi 5 Robot Car MentorPi M1 Mecanum

The Hiwonder MentorPi M1 is an advanced AI-powered educational robot car built around the Raspberry Pi 5 platform and fully compatible with ROS2 Humble. Designed for robotics education, AI research, and autonomous navigation, it combines a high-performance Mecanum-wheel chassis with powerful perception hardware including a 3D depth camera, TOF LiDAR, and closed-loop encoder motors.

Hiwonder MentorPi M1 Robot Car

The robot supports advanced robotics technologies such as SLAM (Simultaneous Localization and Mapping), autonomous navigation, path planning, obstacle avoidance, computer vision, and AI-based voice interaction. By integrating a Large Language Model (LLM) with ChatGPT capabilities, MentorPi M1 enables natural language communication, semantic understanding, scene interpretation, and intelligent robot behaviors.

With support for Python, C, C++, and JavaScript, comprehensive tutorials, and an open ROS2 ecosystem, MentorPi M1 serves as an excellent platform for students, educators, robotics developers, and AI researchers seeking hands-on experience in embodied AI, intelligent robotics, and autonomous driving applications.

Key Features of Hiwonder MentorPi M1 Robot Car

  • Raspberry Pi 5 powered AI robot platform – Runs on the latest Raspberry Pi 5 board for strong processing power in a compact form factor.
  • Fully compatible with ROS2 Humble – Built on the industry-standard robotics framework used in universities and R&D labs worldwide.
  • Omnidirectional Mecanum-wheel chassis – Moves sideways, diagonally, and rotates in place for tight-space maneuverability.
  • Integrated Large Language Model (LLM) with ChatGPT support – Understands natural spoken instructions instead of fixed voice commands.
  • AI voice interaction and natural language understanding – Converts speech into real robot actions using conversational AI.
  • Semantic scene understanding using Vision-Language Models – Identifies and interprets objects and surroundings, not just raw images.
  • SLAM mapping and autonomous navigation – Builds a live map of its environment and navigates it without manual control.
  • Intelligent path planning and localization – Calculates the most efficient route while tracking its exact position.
  • 3D depth camera for environmental perception – Adds depth data for more accurate obstacle detection and 3D mapping.
  • TOF LiDAR for accurate mapping and obstacle detection – Provides precise distance measurement for safe autonomous movement.
  • Closed-loop encoder motors for precise movement – Delivers accurate speed and position control for smooth driving.
  • Supports YOLO-based object, traffic sign, and traffic light recognition – Enables real-world autonomous driving simulation.
  • Autonomous driving learning platform – A hands-on sandbox for studying self-driving robotics concepts.
  • Multi-point navigation through voice commands – Send the robot to multiple destinations just by speaking.
  • Vision tracking and color tracking – Follows a specific object or color in real time using its camera.
  • Human-robot interaction with embodied AI capabilities – Combines vision, voice, and movement for natural human-robot communication.
  • Wi-Fi and Ethernet communication – Flexible connectivity for remote control and development.
  • Supports Python, C, C++, and JavaScript programming – Works with the languages most robotics students and developers already know.
  • Compatible with Raspberry Pi OS, Ubuntu 22.04 LTS, and ROS2 Humble (Docker) – Gives developers flexibility across operating environments.
  • Includes official tutorials and development resources for learning and research – Structured documentation to shorten the learning curve.

Technical Specifications

Parameter Details
Product Name Hiwonder MentorPi M1
Robot Type AI Educational Robot Car
Chassis Mecanum Wheel
Main Controller Raspberry Pi 5
ROS Controller RRC Lite Controller + Raspberry Pi 5
Operating System Raspberry Pi OS + Ubuntu 22.04 LTS + ROS2 Humble (Docker)
Programming Languages Python, C, C++, JavaScript
Camera Angstrong 3D Depth Camera
LiDAR Oradar MS200 TOF LiDAR
Motors 310 Metal Gear Motors
Encoder AB-phase High-Accuracy Quadrature Encoder
Material Full Aluminum Alloy Chassis (Anodized)
Battery 7.4V 2200mAh 10C Li-Po
Storage 64GB TF Card
Communication Wi-Fi, Ethernet
Control Methods PC, Mobile App, Wireless Game Controller
Mobile App Android & iOS
Robot Dimensions 212 × 171 × 147 mm
Weight Approx. 1.2 kg
Package Size 410 × 220 × 180 mm
Package Weight Approx. 2.1 kg

Applications & Use Cases

  • Robotics education – A complete hands-on platform for classroom and lab learning.
  • ROS2 learning and development – Practical experience with the industry-standard robotics framework.
  • Artificial Intelligence education – Teaches real AI concepts through a physical robot instead of simulations alone.
  • Autonomous mobile robot research – Ideal test bed for navigation and mobility algorithms.
  • SLAM algorithm development – Build and refine mapping and localization systems.
  • Path planning research – Study and test route-optimization techniques in real environments.
  • AI vision applications – Develop and test computer vision models on live camera data.
  • Computer vision projects – Object detection, tracking, and recognition experiments.
  • Voice-controlled robotics – Program and test natural-language voice command systems.
  • Human-robot interaction – Explore how people and robots communicate and collaborate.
  • Embodied AI research – Combine perception, reasoning, and physical action in one platform.
  • Object detection and recognition – Train and deploy YOLO-based detection models.
  • Intelligent navigation systems – Multi-point, voice-guided autonomous routing.
  • Autonomous driving education – Learn traffic sign and signal recognition fundamentals.
  • University robotics laboratories – A ready-made platform for coursework and thesis projects.
  • Engineering research projects – Supports mechanical, electrical, and software research.
  • STEM education – Encourages problem-solving through coding and robotics.
  • AI algorithm prototyping – Test new AI models directly on physical hardware.
  • Robotics competitions – A strong base platform for robotics contests and hackathons.
  • Research and development (R&D) projects – Suitable for institutional and corporate R&D work.

Packaging Details

Package Includes (may vary depending on the selected package version):

  • 1 × Hiwonder MentorPi M1 Robot Car
  • 1 × Raspberry Pi 5 Controller
  • 1 × RRC Lite Robot Controller
  • 1 × Mecanum Wheel Chassis
  • 4 × Mecanum Wheels
  • Closed-loop Encoder Motor Set
  • 1 × 3D Depth Camera
  • 1 × TOF LiDAR Sensor
  • 1 × AI Voice Interaction Module
  • 1 × 7.4V 2200mAh Li-Po Battery
  • 1 × Battery Charger
  • 1 × 64GB TF Card (Preloaded System)
  • Required USB and Connection Cables
  • Mounting Accessories
  • User Documentation and Official Tutorials

Note: The exact package contents depend on whether the Starter, Standard, or Advanced version is selected.

Documentation & Official Resources

For setup guides, ROS2 configuration, and programming tutorials, refer to the official Hiwonder MentorPi M1 product page and the complete MentorPi documentation portal, which covers everything from initial assembly to advanced SLAM navigation and AI voice interaction. Video walkthroughs are also available, including an unboxing and feature overview and a hands-on demo of the robot in action, both useful for first-time buyers who want to see the MentorPi M1 before diving into the code.

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Buy Hiwonder Raspberry Pi 5 Robot Car MentorPi M1 Online in Bangladesh at TechShopBD

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Hiwonder Raspberry Pi 5 Robot Car MentorPi M1 Mecanum