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Indoor Differential Service Robot Platform - LSR300
- 100% Open-Source Code
- Professional Technical Support
- Comprehensive Development Resources
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Product Overview
The LSR300 Series Differential Robots, comprising the flagship LSR300Pro and the compact LSR300Mini, deliver premium, fully open-source robotic platforms designed to empower advanced scientific research across diverse experimental scenarios. Engineered for high-end academic and industrial research, the LSR300Pro features multiple core patented chassis technologies, an independent suspension system, automatic recharging capabilities, and fully loaded hardware—including dual TOF LiDARs, a comprehensive 3D ultrasonic anti-collision system, a binocular depth camera, and optional multi-line LiDAR configuration. For space-constrained environments, the LSR300Mini offers a scaled-down footprint without compromising on performance; it mirrors the premium specifications of the Pro model by retaining the independent suspension chassis, dual TOF LiDARs, 3D ultrasonic safety array, binocular depth vision, and auto-recharging functionality. By combining top-tier hardware configurations with fully open-source software, the LSR300 series serves as a highly versatile, high-value research platform that accelerates deployment and innovation for roboticists worldwide.
|
Product |
Mini |
Pro |
|
Drive Structure |
Differential structure |
Differential structure |
|
Wheels |
2 driving wheels, 4 driven wheels |
2 driving wheels, 4 driven wheels |
|
Motor |
5-inch hub motor |
8-inch hub motor |
|
Maximum Speed |
2.0 m/s |
2.0 m/s |
|
Maximum Payload Capacity |
20 kg |
60 kg |
|
Dimensions |
530 * 450 * 425 mm |
706 * 576 * 433 mm |
|
Weight |
51 kg |
56 kg |
|
Endurance |
Approx. 13 hours |
Approx. 13 hours |
|
Control Method |
APP, ROS1, ROS2, Multi-mode smart handle |
|
|
Open Source Description |
Chassis drive source code / schematics, ROS source code, 3D model |
|
|
Sensors |
2 TOF Lidars, 2 depth cameras, 5 ultrasonic sensors |
2 TOF Lidars, 2 depth cameras, 6 ultrasonic sensors |
|
Battery |
24V 20000mAh LiFePO4 (Lithium Iron Phosphate) battery |
|
ROS Controller Specification Comparison
|
Feature |
Orin Nano Super (8GB) |
Orin NX Super (16GB) |
|
CPU |
6-core Arm® Cortex® A78AE v8.2 |
8-core Arm® Cortex® A78AE v8.2 |
|
GPU |
NVIDIA Ampere w/ 1024 CUDA Cores & 32 Tensor Cores |
NVIDIA Ampere w/ 1024 CUDA Cores & 32 Tensor Cores |
|
AI Performance |
67 TOPS |
157 TOPS |
|
Memory |
8GB 128-bit LPDDR5 @ 102 GB/s |
16GB 128-bit LPDDR5 @ 102.4 GB/s |
|
USB Interface |
3 * USB 3.0, 1 * USB 2.0, 1 * Type-C |
3 * USB 3.0, 1 * USB 2.0, 1 * Type-C |
|
Video Input |
MIPI CSI |
MIPI CSI |
|
Video Output |
1 * HDMI 2.0 |
1 * HDMI 2.0 |
|
Video Encoding |
1080p30 (CPU-supported) |
H.265 (Up to 1*4K60) |
|
Video Decoding |
H.265 (Up to 1*4K60) |
H.265 (Up to 1*8K30) |
|
Storage |
256GB SSD |
256GB SSD |
|
Network |
GigE, M.2 PCIe |
GigE, M.2 PCIe |
|
GPIO |
40 Pins |
40 Pins |
|
Rated Power |
7W / 15W / 25W Modes |
10W / 15W / 25W / 40W Modes |
|
Power Input |
9V ~ 19V |
9V ~ 19V |
LiDAR Specification
|
Feature |
Details |
|
Measurement Principle |
Binocular Structured Light (Infrared Projection) |
|
Depth Range |
0.5 - 2.5m |
|
Depth Resolution @ Frame Rate |
USB 3.0: 640x480 @ 60fps |
|
Data & Power Interface |
USB 3.0 Type-C |
|
Depth Field of View (FOV) |
H67.9° x V45.3° |
|
Operating Environment |
Indoor/Outdoor |
|
RGB Resolution @ Frame Rate |
USB 3.0: 640x480 @ 60fps |
|
Power Consumption |
< 2.2W |
|
RGB Field of View (FOV) |
H71.0° x V56.7° |
|
Safety |
Class 1 Laser |
Multi-Line LiDAR Specification Comparison
|
Feature |
C16 Multi-Line Mechanical LiDAR |
C32 Multi-Line Mechanical LiDAR |
|
Number of Lines (Channels) |
16 |
32 |
|
Ranging Capability / Range |
Selectable 70–150 m measurement range |
150 m measurement range |
|
Ranging Principle |
Pulsed (Time-of-Flight / TOF) |
|
|
Laser Wavelength |
905 nm |
|
|
Laser Safety Class |
Class 1 Eye-Safe |
|
|
Accuracy (Typical Value) |
± 1 cm |
± 3 cm |
|
Horizontal Field of View (FOV) |
360° |
|
|
Vertical Field of View (FOV) |
30° |
|
|
Horizontal Angular Resolution |
5Hz: 0.09° ; 10Hz: 0.18°; 20Hz: 0.36° |
|
|
Vertical Angular Resolution |
2° |
1° |
|
Frame Rate |
5 / 10 / 20 Hz |
|
|
Rotation Speed |
300 / 600 / 1200 rpm (corresponding to 5/10/20 Hz) |
|
|
Data Output Rate (Point Cloud) |
• Single Return: 320,000 pts/s • Dual Return: 640,000 pts/s |
• Single Return: 640,000 pts/s • Dual Return: 1,280,000 pts/s |
|
UDP Packet Content |
3D Spatial Coordinates, Reflectivity Intensity, Timestamps, etc. |
|
|
Ethernet Output Rate |
100 Mbps |
|
|
Storage Temperature |
-40℃ ~ +85℃ |
|
|
Operating Temperature |
20℃ ~ +60℃ |
|
|
Operating Voltage |
+12VDC ~ +32VDC |
|
|
Power Consumption |
10W |
12W |
|
Dimensions (Diameter × Height) |
φ102 X 77.8 mm |
φ120 x 110 mm |
|
Weight |
1040 g |
1040 g |
|
Protection Rating |
IP67 |
|
|
Mechanical Shock Resistance |
500m/sec² for 11 ms duration |
|
|
Vibration Resistance |
5Hz–2000Hz, 3G rms |
|
Depth Camera Specification
|
Feature |
Details |
|
Measurement Principle |
Binocular Structured Light (Infrared Projection) |
|
Depth Range |
0.5 - 2.5m |
|
Depth Resolution @ Frame Rate |
USB 3.0: 640x480 @ 60fps |
|
Data & Power Interface |
USB 3.0 Type-C |
|
Depth Field of View (FOV) |
H67.9° x V45.3° |
|
Operating Environment |
Indoor/Outdoor |
|
RGB Resolution @ Frame Rate |
USB 3.0: 640x480 @ 60fps |
|
Power Consumption |
< 2.2W |
|
RGB Field of View (FOV) |
H71.0° x V56.7° |
|
Safety |
Class 1 Laser |
Key Feature Introduction (Fully Open Source)
1.RTAB-Map 3D VSLAM & LiDAR Integration
Supports RTAB-Map pure vision mapping and LiDAR-vision fusion mapping. Fully compatible with ROS 1 and ROS 2 for versatile 3D environment reconstruction.

2.Classic 2D LiDAR Mapping & Navigation
ROS 2: Supports Gmapping, Cartographer, and slam_toolbox.
ROS 1: Supports Gmapping, Hector, Karto, and Cartographer.
Navigation: Features autonomous point-to-point navigation, multi-point waypoints, and dynamic obstacle avoidance.

3.ORB-SLAM2 Visual Mapping
Features the open-source ORB-SLAM2 framework for real-time camera pose
estimation and sparse 3D reconstruction. Provides real-scale metric information when used in RGB-D mode.

4.ROS QT Graphical User Interface(GUI)
Deployed with a dedicated QT-based GUI for "one-click" ROS activation. Provides
intuitive real-time feedback on robot velocity, battery status, and system health.

5.YOLO Object Detection
ROS 1: Powered by YOLO.v3 for general object, traffic sign, and gesture recognition.
ROS 2: Powered by YOLO.v8 and YOLOv11 for state-of-the-art object detection and custom model training support.

6.LLM Deployment
Supports both offline local deployment and online cloud-based integration of Large
Language Models for advanced reasoning and interaction.

7.Depth-Based Visual Following
Utilizes depth cameras to calculate target distance and bearing for smooth, real-time robot following.

8.KCF Target Tracking
Employs Kernelized Correlation Filters (KCF) via the depth camera to identify and track objects with fixed visual features.

9.AR Tag Recognition & Following
Detects and tracks the 6-DOF pose of AR Tags, allowing for tag-following behaviors and expanded tag-based localization.

10.RRT Autonomous Exploration
Enables fully autonomous mapping using the RRT algorithm. The robot explores, maps, saves the data, and returns to the starting point without human intervention.

11.Web-Based Camera Monitoring
Remotely view the robot's live camera feed through any PC browser for quick deployment of remote surveillance tasks.

12.RGB Camera Line Following
Enables the robot to follow ground lines via RGB vision. Integrated with LiDAR to ensure automatic obstacle avoidance during line-following missions.

13.LiDAR-Based Following
Scans the environment for nearby obstacles and intelligently selects the nearest target for the robot to follow.

14.LiDAR Angle Masking
Optimized via SDK to allow custom angle shielding/masking for all supported LiDAR models.

15.TEB & DWA Path Planning
Includes detailed video tutorials and Python-based "mini-games" to help users learn navigation path planning from the ground up.

16.DWB / MPPI / RPP Controllers
Provides three ready-to-use controller plugins (DWB, MPPI, and RPP) tailored for different scenarios and various robot footprints.

17.Full Coverage Path Planning
Automatically generates a path that covers an entire user-specified area, ideal for cleaning or inspection robots.

18.Chassis Kinematics Analysis
Provides comprehensive kinematics analysis for various chassis types: Ackermann, Differential, Tracked, Mecanum, Omnidirectional, and 4WD.

19.Path Recording & Playback
Record manual trajectories and reproduce them autonomously using the Nav2 navigation framework.

20.Comprehensive URDF Models
Includes high-fidelity URDF models that accurately match the physical robot's dimensions and properties.

21.ROS Mobile APP for Navigation
A dedicated app for controlling the ROS environment, supporting motion control, mapping, and navigation tasks.

22.Hardware Tuning & Parameter APP
Supports Android and iOS. Features real-time parameter tuning, gravity-sensing control, and waveform visualization.

23.Optional 4G Remote Modules
Supports optional 4G modules for long-range video transmission and remote control over cellular networks.

24.3D Reconstruction for Real-World Autonomous Driving
Upgrade with an optional multi-line LiDAR to unlock outdoor 3D mapping and environment reconstruction, bringing your development platform incredibly close to full-scale autonomous vehicles.

1. Free Shipping Policy
We offer free standard shipping on orders.
2. Customs & Import Fees
All international shipments are subject to local customs regulations. Import duties, taxes, or other fees may be charged by your country's customs authority upon arrival.
Our shipping terms are based on Ex-Works (EXW) or FCA (Origin), which means any import duties, taxes, or local customs fees are the sole responsibility of the customer. While our carriers provide basic assistance with the clearance process, we are not responsible for delays or costs imposed by your local authorities.
Important: If a package is returned to us due to unpaid customs duties or a refusal to clear customs, any original shipping fees, return shipping costs, and related handling charges will be deducted from your refund.
3. Order Processing Time
Orders are typically processed within 24 hours after placement and shipped the next business day.
Orders placed on weekends or public holidays will be shipped on the next working day.
Once shipped, you will receive a confirmation email with tracking information.