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ros2_data_collection

MPL-2.0C++

Collect, validate, and send ROS 2 data to build APIs and dashboards with reliable data pipelines.

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118 stars8 forks0 contributors

What is ros2_data_collection?

Minipada/ros2_data_collection is a tool for gathering, validating, and reliably transmitting data from ROS 2 (Robot Operating System 2) systems. It enables developers and engineers to create APIs and dashboards by establishing robust data pipelines from robotic applications, ensuring data integrity and accessibility for monitoring and analysis.

Target Audience

ROS 2 developers and robotics engineers who need to integrate robotic system data with external monitoring, analysis, or visualization tools.

Value Proposition

It bridges the gap between ROS 2-based robotic systems and modern web-based tools by providing reliable data pipelines with built-in validation, eliminating custom integration work for data streaming to APIs and dashboards.

Overview

Collect, validate and send data reliably from ROS 2 to create APIs and dashboards.

Use Cases

Best For

  • Building real-time monitoring dashboards for ROS 2 robotic applications.
  • Creating RESTful APIs from ROS 2 topic, service, and parameter data streams.
  • Establishing reliable data pipelines from robotic systems to external analysis tools.
  • Ensuring data quality and consistency when transmitting ROS 2 data to web-based applications.
  • Integrating ROS 2 systems with modern data visualization and interaction tools.
  • Collecting and validating sensor or operational data from ROS 2 topics for external processing.

Not Ideal For

  • Projects requiring real-time control loops with sub-millisecond latency for direct sensor-to-actuator feedback.
  • Teams that only need offline data logging without streaming to external APIs or dashboards.
  • Developers working with non-ROS 2 frameworks like ROS 1 or proprietary robotic software.
  • Organizations seeking turnkey dashboard solutions with minimal configuration and no additional frontend development.

Pros & Cons

Pros

Built-in Data Validation

Ensures data quality and consistency through validation mechanisms, preventing corrupted or inconsistent data from affecting external systems like APIs and dashboards.

Reliable Transmission Guarantees

Provides robust data pipelines with reliability assurances for sending ROS 2 data to external tools, reducing data loss in critical robotic monitoring scenarios.

Seamless API Integration

Facilitates the creation of RESTful APIs directly from ROS 2 topics, services, and parameters, bridging robotic systems with modern web-based applications.

Real-time Dashboard Support

Enables building live monitoring dashboards by establishing data pipelines, ideal for visualizing sensor and operational data from ROS 2 applications.

Cons

ROS 2 Exclusivity

Tied solely to ROS 2 systems, making it incompatible with other robotic frameworks or legacy ROS 1 setups, which limits its versatility.

Setup Overhead

Requires integration with existing ROS 2 nodes and topics, which can be complex and time-consuming for teams unfamiliar with ROS 2 data handling.

No Pre-built Visualizations

Focuses on data pipelines rather than offering ready-to-use dashboard components, necessitating additional frontend work for visualization.

Frequently Asked Questions

Quick Stats

Stars118
Forks8
Contributors0
Open Issues106
Last commit2 years ago
CreatedSince 2023

Tags

#robotics#ros2#api-builder#dashboard#real-time-data#data-collection#data-validation#open-source-robotics#data-pipeline

Built With

R
ROS 2

Links & Resources

Website

Included in

Robot Operating System 2.02.1k
Auto-fetched 1 day ago
Community-curated · Updated weekly · 100% open source

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