Lunqu Autonomous Vehicle and ROS Research Platform

Multimodal Interaction and ROS2 Teaching Platform

A ROS2 teaching and AI large-model practice platform for universities and vocational colleges, covering mapping and navigation, 3D vision, formation collaboration, and multimodal interaction experiments.

Large-scale ROS research robot

Hub Motor Chassis and Composite Robots

Large mobile chassis and composite robots designed for research institutions, featuring hub motor drive, independent suspension, and compatibility with collaborative robotic arms and multi-line LiDAR.

ROS Robot Hardware

Main Controller, Development Board, and LiDAR

Core hardware beyond the robot body: Jetson integrated controller, RDK development board, and LiDAR for building custom platforms and validating algorithms.

Underactuated Self-Balancing / Intelligent Vehicle Kit

PID, LQR, and Control Algorithm Experiments

Ball-balanced, single-sided balanced, and line-following obstacle-avoidance robot. Open-source control code ideal for teaching automatic control principles and algorithm fundamentals.

Motor and Tire

Chassis Drive and Walking Components

Reducer motors, integrated drive-and-control stepper motors, and specialized tires are selected to match the chassis structure. These components can be purchased separately for self-developed chassis projects.

Robotic Arm and Gripper

Grasping Execution and Visual Sorting

Collaborative robotic arms, vision-enabled arms, and flexible grippers integrate with mobile chassis to form composite robots for pick-and-sort tasks.

Multimodal Interaction and ROS2 Teaching Platform

AI Large Model Education Robot

A ROS2 teaching and AI large-model practice platform for universities and vocational colleges, covering mapping and navigation, 3D vision, swarm coordination, and multimodal interaction experiments.

Four-wheel drive, Mecanum wheel, and Ackermann steering chassis

V550 ROS2 AI Large Model Educational Robot

Lunqu ROS Education Flagship Platform integrates multimodal large model interaction, supports mapping and navigation, 3D vision, robot formation, and deep learning experiments. Provides complete open-source code and video tutorials.

Product Version: V550 AWD / Mecanum / Ackermann
Overall Dimensions: 4WD 260×214×22 3mm; Mecanum 260×229×22 8mm; Ackerman 280×190×22 6mm
Drive Wheel: 65mm rubber wheels / 75mm metal Mecanum wheels

ROS 2 Robot Swarm Bundle - Product Image

Multi-Vehicle Formation and Swarm Algorithm Training

ROS2 Robot Fleet Bundle

A swarm teaching kit composed of multiple V550 series chassis, supporting ROS1 and ROS2. The swarm framework source code is open-source, designed for cluster control and cooperative algorithm courses.

System Support: ROS1 / ROS2: Open-source Multi-Robot Formation Framework Source Code
Combination: High-spec Ackermann 5-wheel version; 10-wheel version (Mini Mecanum ×5 + Mini Ackermann ×5)
Overall Dimensions: 266×230×196mm / 266×207×192mm / 272×189×150mm (by vehicle model)

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Five chassis structures available

R550 ROS2 AI Large Model Educational Robot

Extends the V550 platform with five chassis structures: Ackermann, Mecanum, Omni-directional, Tracked, and 4WD. Includes over 16G of code-level video tutorials covering multimodal AI and mobile manipulation courses.

Product Version: Ackerman / Mecanum / Omni-directional / Crawler / 4WD
Overall Dimensions: 271×189×15 1mm, 266×230×20 2mm, 234×234×19 1mm, 268×268×16 4mm, 266×206×19 3mm
Drive Wheel: 65mm rubber wheel / 75mm metal Mecanum wheel / 60mm metal omnidirectional wheel / metal track wheel / wheels for 4WD cars

Lane Training and Traffic Sign Recognition

Sandbox Edition ROS Educational Robot

Integrate the sandbox scenario kit onto the V550 chassis, featuring lane training and road sign recognition. Optional MR20 millimeter-wave radar available; ideal for autonomous driving education and demonstrations.

Product Version: V550 Ackermann Sandbox / V550 Mecanum Sandbox
Overall Dimensions: 280×189×328mm / 260×228×329mm
Drive Wheel: 65mm Blue Rubber Wheel / 75mm Omni-Directional Mecanum Wheel

Hub Motor Chassis and Composite Robots

Large-scale ROS research robot

Large mobile chassis and composite robots for research institutions, featuring hub motor drive, independent suspension, and compatibility with collaborative robotic arms and multi-line LiDAR.

T280 Brushless 4-Wheel 4WD Robot Product Image

Four-Wheel Independent Drive and Steering

T280 Brushless 4-Wheel Drive Robot

Four-wheel, four-steer mobile chassis for embodied AI research. Features independent drive and steering on all wheels for in-place rotation. Supports SLAM navigation and multi-line LiDAR configurations.

Dimensions: 640×542×389.1mm
Chassis curb weight: 50 kg
Tire: Diameter 103mm, tread width 38mm

Hub Motor Chassis + Collaborative Robot Arm

S300 Pro Open-Source Composite Robot

Equipped with an independent suspension chassis, dual TOF LiDARs, and a Realman ECO65 collaborative robot arm, it supports automatic recharging. With open-source software, it is designed for mobile manipulation and composite robot research.

Chassis Motor: 8-inch hub motor
Chassis Maximum Speed: 2.0m/s
Maximum chassis load: 60 kg

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Smaller footprint, full power.

S300 Mini Open-Source Composite Robot

A compact version of the S300 Pro, featuring a 5-inch hub motor and the same dual TOF radar and ECO65 robotic arm configuration. Ideal for labs and teaching environments with limited space.

Chassis Motor: 5-inch hub motor
Chassis Maximum Speed: 2.0m/s
Maximum chassis load: 20 kg

8-inch brushless hub motor 4WD chassis

S200 Brushless 4WD Robot

Four-wheel-drive brushless hub motor chassis with built-in 20000mAh LiFePO4 battery, independent suspension, and 4096 wire magnetic encoder. Ideal for indoor and outdoor research and algorithm validation.

Product Dimensions: 650×650×35 2mm
Total Unit Weight: About 48.5kg
Drive Wheel: 4× 8 inch brushless hub motor

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Main Controller, Development Board, and LiDAR

ROS Robot Hardware

Core hardware beyond the robot body: Jetson mainboard, RDK development board, and LiDAR for building custom platforms and validating algorithms.

8GB / 16GB Edge Computing Appliance

Jetson Orin NX Series Main Controller

Edge computing system based on NVIDIA Jetson Orin NX and Lunqu's proprietary Orin WT carrier board. The 16GB version delivers up to 157 TOPS of compute power in a form factor identical to the Jetson Nano.

Model: Jetson Orin NX Super (8GB / 16GB optional)
Computing Power: 8GB version: 117 TOPS; 6GB version: 157 TOPS
memory: 8GB / 16GB 128-bit LPDDR5, bandwidth 102.4GB/s

Jetson Orin Nano Series Mainboard Product Image

4GB / 8GB Entry-Level Edge Computing

Jetson Orin Nano Series Main Controller

Jetson Orin Nano with Orin WT carrier board: 4GB and 8GB memory options, upgradable to Super performance. Ideal for entry-level vision and navigation workloads.

Model: Jetson Orin Nano Super (4GB / 8GB options)
Computing Power: 4GB version: 34 TOPS; 8GB version: 67 TOPS (Super Mode)
memory: 4GB 64-bit LPDDR5 (51GB/s) / 8GB 128-bit LPDDR5 (102GB/s)

10 TOPS Domestic Robot Development Board

RDK X5 Development Board

Equipped with the Sunrise 5 intelligent computing chip, delivering 10 TOPS of compute power and a 8-core A55 processor. Supports Gigabit PoE and Wi-Fi 6, ideal for robot vision and educational development.

AI Compute: 10 TOPS
CPU: 8× A55 @1.5GHz
memory: 4GB / 8GB options

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M10P / N10P Series, Supports ROS

Leishen Intelligent LiDAR

As a strategic partner of Leadshine Intelligent, Lunqu supplies the 360° LiDAR covering the M10P and N10 series. It supports both ROS1 and ROS2 for mapping, navigation, and obstacle avoidance.

Model: M10P / M10P-PHY / N10P / N10
Scan Angle: 360°
Distance measurement accuracy: M10P series ±3 cm; N10 series ±3 cm (at 70% reflectivity) / ±4.5 cm (6 m)

PID, LQR, and Control Algorithm Experiments

Underactuated Self-Balancing / Smart Car Kit

Ball balancing, single-sided balancing, and line-tracking obstacle avoidance robot. Open-source control code suitable for teaching automatic control principles and algorithm fundamentals.

Underactuated Spherical Balance Control

Balancing Robot

Underactuated balance platforms with spherical wheels. Two models feature brushed DC and stepper motors respectively, with open-source control code for modern control theory experiments.

Dimensions: Diameter 406.1×484.3mm / Diameter 222.4×322.5mm
Total Weight: 4.17kg / 1.74kg
Drive Motor: MD36P27 12V DC Brushed Motor / MS42C Stepper Motor

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B650 / B790 Single-point balance

Single-sided Balanced Block

Intelligent control platform for single-sided or single-point contact balancing, supporting PID and LQR instruction. Core control code is open source. B650 features a CNC enclosure; B790 features a full carbon fiber enclosure.

Product Model: B650 (Single-Side Balance) / B790 (Single-Point Balance)
Dimensions: 85×75.5×120mm / 97×97×100mm
Total Weight: 684g / 952g

Obstacle-Avoidance Line-Following Robot with Radar - Product Image

L150 / L150 PRO Dual-Master Edition

Obstacle-Avoidance Line-Tracking Robot Car

Line-following and obstacle-avoidance robot with STM32 as the main controller and a LiDAR sensor. Available in two versions: C10B and C30D, suitable for path tracking, obstacle avoidance, and sensor courses.

Version & Controller: L150 (C10B, STM32F103RCT6) / L150 PRO (C30D, STM32F407VET6)
Driven Encoder: 2 / 4
Onboard IMU: C10B: None (MPU6050 interface reserved); C30D: Onboard MPU6050

High-End ROS Balance Robot Product Image

40-hour self-balancing battery life

High-Specification ROS Balancing Robot

Balance robot for ROS education, equipped with N10 LiDAR and mount. Connects directly to STM32 for radar integration, includes 500-wire encoder and 3C-certified fast charging.

Dimensions: 184.2×64×217.9mm
Total Weight: 1.2kg
Tire: 65mm Blue Rubber Tire

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Chassis Drive and Walking Components

Motor and Tire

Reduction motors, integrated drive-control stepper motors, and specialized tires are selected based on chassis structure. They can be purchased separately for custom chassis development.

180mm large-diameter drive wheel

Rubber wheels for lawn mowers

Large-diameter rubber wheels for robotic lawn mowers and outdoor chassis, featuring a clamp-style coupling (utility model patent). Maximum load: 100 kg. Multiple shaft diameters available.

Tire Diameter: 180mm
Tire Width: 49mm
Load Capacity: 100 kg

Hall / GMR Encoder (Two Versions)

MG513X DC Gear Motor

Smart car uses high-quality DC gear motors with either Hall or GMR encoders. Operates at 12V and fits directly with 65mm tires.

Product Model: MG513X (Hall Encoder) / MG513XL (GMR Encoder)
Rated Voltage: 12V
No-load speed after deceleration: 370±12 rpm

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MS42DDCR Integrated Driver & Controller Stepper Motor Product Image

Built-in driver and high-precision encoder

MS42DDCR Integrated Driver & Control Stepper Motor

GB 42 stepper motor integrated driver and controller models, featuring built-in drive and control circuitry, high-precision encoders, support for serial/CAN/485 control, and wide-voltage power supply.

Product Model: MS42DDC (No Reducer) / MS42DDCR (1:13.8 Reducer)
Reduction Ratio: Without reducer / 1:13.8
No-load speed: 421 rpm / 29 rpm

100W High-Torque Wheel Module

MD60 Planetary Gear Motor

Planetary geared motor designed for large mobile chassis, 100W power, 24V rated voltage, equipped with a 500-wire GMR encoder. Forms a wheel module when paired with 8-inch inflatable tires.

Product Model: MD60 P18 / MD60 P47
Rated Voltage: 24V (Recommended supply range: 21-28V)
Rated Power: 100W

Grasp Execution and Visual Sorting

Robotic Arm and Gripper

Collaborative robotic arms, vision-enabled robotic arms, and flexible grippers combine with mobile bases to form composite robots for pick-and-sort operations.

ECO65-B 6-DOF Collaborative Robot

Rearmann Robotic Arm

Robotman ECO65-B, a 6-DOF economical collaborative robot with integrated controller and arm. Rated payload: 5kg; Repeatability: ±0.05mm. Compatible with Gemini Pro camera.

Model: Rieman ECO65-B
Degrees of Freedom: 6
Rated Load: 5 kg