OS-mate

Integrated with open-source ROS, this learning kit supports autonomous navigation perception, decision-making, control and communication tasks for different types of mobile robots.

1.png

Multi-scenario Fusion Navigation Algorithm

Fusion of multi-source sensing data and diverse algorithms supports navigation development and application in complex environments, laying a solid technical foundation for autonomous driving, robotics and enhanced navigation applications.

2.jpg

Multi-stage Practice and Extended Functions

From underlying hardware to upper-layer algorithms, hardware structures to system integration, and installation operations to innovative research. Build a full-process practical research framework to drive innovation and solve complex problems.

1.png
  • ROS1+ROS2 Practice ：Master ROS System Architecture & Navigation Principles
  • Auto-Nav Software Tuning ：Localization, Planning & Control Synergy
  • Auto-Nav Algorithm Dev ：Multi-Scenario Application Expansion
  • Hardware Assembly & Debugging ：Chassis Hardware & Electrical Commissioning
  • Motion Control Calibration ：Chassis CAN Bus & Control System Calibration
  • Chassis-Nav Joint Debugging ：Multi-sensor Calibration & Nav Tuning

Based on modular hardware+ROS 1/2 dual-system+ecosystem tools. 4 core (mechanical design, ROS, localization, control) into all-in-one mobile robot development platform with integration, node architecture, localization-mapping fusion and path planning

2.jpg
  • 1.png

    Mechanical Design, Fabrication & Automation

    Through the construction, debugging and optimization of "chassis and sensors (LiDAR, cameras, etc.)", we provide comprehensive support from hardware design to system integration.

  • 1.png

    Operating System(ROS) Discipline Field

    Through the learning of "nodes, communication mechanisms, and modular libraries", we provide key support from basics to in-depth innovation for localization and mapping, as well as path planning development.

  • 2.jpg

    Nav Engineering Tech Discipline Field

    Through the full-stack architecture of "perception, localization, planning, and control", we build a rapid development platform for multi-sensor fusion, high-precision map adaptation, and complex path decision-making.

  • 1.png

    Control Engineering Discipline Field

    From ROS Basics to Advanced ROS2 Industrial Application Algorithms: Meet Research & Application Needs for Practical Operation, Principle Understanding, Precision Optimization & Algorithm Development.

No record
No record

Comprehensive Application Development

  • Localization Alg

    Localization Alg

  • 3D LiDAR Fusion

    3D LiDAR Fusion

  • Auto Mapping Alg

    Auto Mapping Alg

  • Perception & Obstacle Avoidance Alg

    Perception & Obstacle Avoidance Alg

  • Nav Alg

    Nav Alg

  • 3rd-party Perception Exp

    3rd-party Perception Exp

  • Visual Nav Alg

    Visual Nav Alg

  • Localization Alg

    Localization Alg

  • 3D LiDAR Fusion

    3D LiDAR Fusion

  • Auto Mapping Alg

    Auto Mapping Alg

  • Perception & Obstacle Avoidance Alg

    Perception & Obstacle Avoidance Alg

  • Nav Alg

    Nav Alg

  • 3rd-party Perception Exp

    3rd-party Perception Exp

  • Visual Nav Alg

    Visual Nav Alg

Multi-industry Applications

  • Development

    Development

  • Training

    Training

  • Teaching

    Teaching

  • Research

    Research

Support the deployment of various modular applications,

and jointly expand the infinite industry future with you.

db1ea2cab8fd1c1efe50312e1219c8b1.png

OS-mate

  • Chassis Types：Ackermann Chassis , 4WT/4WD Chassis, Tracked Chassis, Differential Chassis
  • Embedded Computer：i5-8265U/1.6GHz
  • Storage：128G
  • LiDAR：2D LiDAR(16m Measuring Radius)/3D LiDAR(100m Measuring Radius)
  • Depth Camera：3.8°× 58.8°(Depth FOV) 80.9°× 51.7°(Color FOV)
  • Camera Range：0.2~4m
  • System Configuration：Ubuntu 16.04 / 22.04
  • Nav System Version：ROS1 / ROS2
  • Operating Environment：Indoor / outdoor
  • Hardware Functions：Hardware Installation & Commissioning, CAN Communication Analysis & Application, Chassis Kinematics Analysis & Application, Battery BMS Analysis & Application
  • Auto-Nav Install, Debug & Test Function：ROS Auto-Nav Hardware Install, Debug & Test, ROS Auto-Nav Software Architecture Analysis & Application, ROS Sensor Fusion Data Analysis and Application, ROS Chassis Control Fusion Analysis and Application
  • Nav Functions：Dynamic Obstacle Avoidance, Point-to-Point Navigation, Multi-Point Navigation, LiDAR Angle Masking, Global/Local Path Planning & Mapping Navigation
  • Configuration：Nav Module + Chassis / Nav Module + Chassis + Training & Assessment Plan
  • Config Desc：Components and functions support modular upgrades; specifications are subject to the actual product configuration.
  • Tech Docs：Open-Source Code, Chassis CAN Protocol, Chassis STP Drawing, Driver ROS Package
  • Services：One-to-One Development Tech Support
No record

Technical Support

    No record
新人物长图英文版.jpg
No record