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Ros_nextjs_pkg

ROS2 y next js 13 to deploy a dashboard.

Ros_nextjs_pkg

ROS2 y next js 13 to deploy a dashboard.

Author Avatar Theme by armando-genis
Github Stars Github Stars: 22
Last Commit Last Commit: Sep 8, 2023 -
First Commit Created: Aug 8, 2025 -
Ros_nextjs_pkg screenshot

Overview

The combination of ROS2 and Next.js 13 provides a powerful framework for developing and deploying interactive dashboards that can be used in a variety of robotics applications. By leveraging the capabilities of ROS2 for robotic operations and the versatility of Next.js for web applications, developers can create seamless user interfaces that improve both functionality and user experience.

This deployment, specifically aimed at showcasing real-time data through web applications, allows developers to run their applications efficiently. It’s designed for ease of use, making it accessible for both experienced developers and those new to the technologies involved.

Features

  • Seamless Integration: Combines ROS2 capabilities with Next.js 13 for transmitting and displaying real-time data effectively.

  • Rapid Deployment: The project is set up to automatically run npm run dev, minimizing configuration time and streamlining the deployment process.

  • Powerful Visualization: Incorporates libraries such as Three.js for rendering 3D visualizations, enhancing the presentation of data.

  • Modular Architecture: Encourages the installation of various modules within the Next.js app, allowing for easy expansion and customization based on project needs.

  • Documentation Support: Provides detailed documentation to guide developers through the setup and usage, facilitating a smoother development experience.

  • Interactive Dashboard Features: Enables the development of responsive dashboards that can handle complex data representations in an intuitive way.

  • Compatibility with PointCloud Data: Supports specific data formats like PointCloud2, making it suitable for applications in robotics where spatial data is crucial.

This combination of features positions this framework as a robust choice for developers looking to build modern, efficient, and interactive dashboards for robotics applications.