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OS-mate

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.

A robot chassis with a mechanical arm harvesting apples into a wooden crate using the OS-mate ROS navigation kit

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.

A wheeled UGV navigating a narrow tiled corridor using OS-mate multi-scenario fusion navigation algorithms

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.

Layout of wheels, chassis frame, and OS-mate ROS navigation kit components for hardware training
  • 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

Multi-domain Application & Development

Based on modular hardware+ROS 1/2 system+ROS 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.

Top-down view of a wheeled robot chassis with blue sensor scan rings for OS-mate ROS 1/2 development
  • A white modular navigation kit with a touchscreen and blue LiDAR for OS-mate mechanical design

    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.

  • Side view of a robot chassis with pole-mounted antennas demonstrating OS-mate ROS localization and mapping

    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.

  • A hand holding a tablet displaying a grid map while a robot navigates gray box obstacles

    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.

  • Multiple wheeled UGVs executing ROS2 industrial application algorithms within a narrow tiled corridor

    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.

Comprehensive Application Development

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    Localization

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    3D LiDAR Fusion

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    Perception & Obstacle Avoidance

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    Mapping

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    Path Planning

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    Sensors Fusion Perception

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    Visual Obstacle Avoidance

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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.

Parameter

Product side view of OS-mate ROS navigation kit for parameter specifications

OS-mate

  • Available on：OMNI UGV, Ackermann steering UGV, Tracked UGV, Differential Steering UGV
  • Operating Environment：Indoor / outdoor
  • Operation System：Linux Ubuntu 16.04 ROS1 / Linux Ubuntu 22.04 ROS2
  • Computing Unit：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°(RGB FOV)
  • Camera Range：0.2~4m
  • 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：Mapping, Dynamic Obstacle Avoidance, Point-to-Point Navigation, Multi-Point Navigation, LiDAR Angle Masking, Global/Local Path Planning Navigation
  • Configuration：Nav Module + Chassis
  • Configuration Description：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, ROS Driver Package
  • Services：Online Technical Support

Technical Support

Technical support service for robot chassis customers.

CaseVideo