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Maqueen Plus V3 - STEM Educational micro:bit Robot with Matrix Laser Ranging (18650 Battery)

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$69.90
SKU: MBT0050-18650
Advanced educational robot for STEM, featuring laser sensors, line-tracking algorithms, motor encoders with PID control, and enhanced light interaction.
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Introduction

The Maqueen Plus V3 is an advanced educational robot engineered to revolutionize STEM robot education and competitions for primary and secondary school students. The Maqueen Plus V3 operates by integrating a sophisticated suite of sensors and control mechanisms. It leverages a powerful matrix laser ranging sensor for environmental perception, high-precision motor encoders with PID control for accurate movement, and built-in algorithms for complex tasks such as line-tracking and intersection recognition. These capabilities allow for more dynamic and intricate applications in educational settings.


Precision Navigation with Matrix Laser Ranging

The Maqueen Plus V3 features a cutting-edge matrix laser ranging sensor, a significant leap from standard ultrasonic sensors. This provides superior accuracy (e.g., ±11mm for white targets at 20-200mm) and rapid response (up to 60Hz in 4x4 mode) over a 60-degree field of view. This enables the robot to not only detect distances but also pinpoint obstacle positions, facilitating intelligent route planning and sophisticated obstacle avoidance for advanced autonomous movement.

Maqueen Plus V3 - Precision Navigation with Matrix Laser Ranging


Simplified Advanced Tasks with Built-in Algorithms

Mastering line-tracking and intersection navigation is streamlined with algorithms integrated directly into the robot's core. The onboard line-tracking significantly lowers the entry barrier to this fundamental skill, allowing students to focus on higher-level strategies. Furthermore, the innovative built-in intersection recognition identifies various junction types (crossroads, T-junctions, etc.) in real time, enabling the creation of complex map-based challenges and enriching competition diversity. These functions operate independently, freeing the main controller for other tasks.

Maqueen Plus V3 Built-in Line-tracking Algorithms

Figure: Maqueen Plus V3 Built-in Line-tracking Algorithms


Maqueen Plus V3 Built-in Intersection Recognition Algorithms

Figure: Maqueen Plus V3 Built-in Intersection Recognition Algorithms


Accurate Movement with Motor Encoders & PID Control

Unlike many educational robots lacking precise motion capabilities, the Maqueen Plus V3 incorporates high-precision motor encoders with PID (Proportional-Integral-Derivative) control. This allows for exact control over travel distance and steering angles without cumbersome trial-and-error debugging. Expect reliable and repeatable performance in tasks demanding accurate navigation, a crucial advantage in both educational settings and competitive arenas.

Motor Encoders & PID Control makes Maqueen Plus V3 More Accurate

Figure: Motor Encoders & PID Control makes Maqueen Plus V3 More Accurate


Enhanced Light Interaction

Enhanced interaction comes from dual light intensity sensors for applications like light-seeking or automatic headlights, complemented by vibrant, programmable RGB headlights and ambient lights that spark creativity and make learning more engaging.

Maqueen Plus with Dual Light Intensity Sensors

Figure: Maqueen Plus with Dual Light Intensity Sensors


Detachable Metal Motor Components

The Maqueen Plus V3 is equipped with finely parameter-matched metal motors, selected after rigorous testing and verification of over 30 motor samples to ensure optimal performance, reliability, and speed, resulting in smooth rotation without stalling. The motors are holistically protected to minimize the risk of debris entering and damaging the gearbox. Recognizing the frequent use and potential wear (e.g., brush wear, damage from accidental drops or squeezing) in advanced teaching and competitions, the robot features a detachable motor design. This allows for quick replacement of damaged motors, preventing disruptions to educational activities and competitions.

Additionally, a dedicated voltage-stabilizing chip for the motors ensures consistent running speed, unaffected by battery voltage decline, allowing programs to run reliably without parameter modifications.

Applications

  • STEM Robot Education
  • Robotic Competition
  • Specification

    Power Supply

  • AA Battery Version: 3.5V - 6V (Requires 4x AA batteries - 1.5V dry cells or 1.2V Ni-MH rechargeable)
  • Protection: Battery reverse connection protection supported

  • Onboard Sensors & Perception

  • Line-Tracking System:
             Sensors: 5
             Calibration: Dedicated button
             Output: Digital / Analog
             Built-in Intersection Recognition: 4 types (Crossroad, T-shaped, Right turn & Straight, Left turn & Straight)
             Built-in Algorithm Speed: 5 adjustable levels
  • Matrix Laser Ranging Sensor:
             Interface: I2C / UART / USB (PH2.0-4P & TYPE-C)
             Matrix Resolution: 8x8 (64 points)
             Modes: Matrix measurement / Intelligent obstacle avoidance
             I2C Address: 4 selectable (0x30 - 0x33)
             Ranging Update Rate: 15Hz - 60Hz
             Ranging Range: 20mm - 4000mm
             Accuracy (20-200mm): ±11mm (white targets), ±12mm (gray targets)
             Accuracy (200-4000mm): ±5% (white targets), ±6% (gray targets)
             Detection Angle: 60° H x 60° V (90° Diagonal)
             Laser Safety: Class 1 compliant
             Firmware Update: Supported via USB
  • Light Sensors:
             Quantity: 2
             Data Range: 0 - 1023
  • Infrared Receiver: 1

  • Motors & Motion Control

  • Motors: 2x N20 Metal Motors
             Interface: PH2.0 - 2P
             Power Supply: Independent 5V regulated
             Mounting: Screw-fixed, detachable
  • Encoders & PID Control:
             Encoders: 2 (Magnetic induction, 4-line resolution)
             PID Control: For precise distance and angle control
             Speed Measurement Unit: Centimeters per minute (Note: Consider "cm/s" for more conventional robotics speed representation)

  • Lighting & Audio Indication:

  • RGB LEDs:
             Ambient Lights: 4x WS2812 (Full R255 G255 B255 color spectrum)
             Car Headlights: 2x Programmable RGB (Red, Green, Yellow, Blue, Purple, Cyan, White)
  • Buzzer: 1

  • Mechanical, Expansion & Other Features:

  • Mounting & Adjustment:
             Metal Bracket Parts: 2
             Bracket Adjustment: 1-axis, 270° range (M3 thumb screws)
             PCB Threaded Interfaces: 2
  • Expansion: 14x Extended GPIOs
  • Protection: Bottom acrylic protection plate
  • Firmware Upgrade: Dedicated interface and button
  • Documents

    Shipping List

    • Maqueen Plus V3 Baseboard x1
    • Metal Motor with Encoder and Connection Cable (already installed on the baseboard) x2
    • AA Battery Board x1
    • Matrix Laser Ranging Sensor x1
    • PH2.0 - 4P Sensor Connection Cable x1
    • Wheels x2
    • Line-Tracking Map x1
    • Screwdriver x1
    • Metal Support Frame x1
    • Metal Mounting Bracket x1
    • 35mm Mounting Copper Pillars x5
    • M3 Mounting Screws x5
    • M3 Thumb Screws x4

    Review

    Anatolii.Vasyliuk Jun 29, 2025

    I really like the solution of the Maqueen Plus in combination with the micro:bit and the AI ​​sensor-camera HuskyLens, which I have been working with for quite some time. And today I received a new Maqueen Plus V3 with a Matrix LIDAR distance sensor. Honestly, the Maqueen Plus in the 3rd generation has become technically more advanced on its own, and using it in conjunction with the lidar gave it even more advantages. I got used to the principles of Matrix LIDAR distance sensor operation quite quickly, all the sample programs provided in the wiki work absolutely correctly, I only changed the reaction distance and speed of movement. By the way, you will see in the photo that the camera did not go anywhere (I can’t do without HuskyLens:), so I mounted both the lidar and the Husky camera on the robot at the same time. There were worries about how the platform would pull two I2C streams at the same time, but everything worked without problems. By the way, the camera works just as well on this platform as on its predecessor. I have already tested a lot of things in terms of functionality and am starting to write a new program for a training course based on my new Megaplatform:) By the way, I installed the HuskyLens in such a way as to leave the Matrix LIDAR distance sensor in the right place, and so that the Matrix LIDAR distance sensor does not hit the HuskyLens. Thanks to the new mounting screws and the specific mutual arrangement of the mount, the HuskyLens and Matrix LIDAR can be tilted and moved at different angles independently of each other. I post the work and testing processes on my social networks, but I don't know if the DFRobot team will allow me to leave links here, in the comments. Thank You

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    Maqueen Plus V3 - STEM Educational micro:bit Robot with Matrix Laser Ranging (18650 Battery)
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