The robotics industry has experienced significant growth in recent years, with the global robotics market size expected to reach US$230 billion by 2025. This growth is largely driven by the increasing adoption of automation and robotics in various industries, including manufacturing, healthcare, logistics, and more. The integration of automation and robotics with Industry 4.0 technologies has brought new challenges, including the management and analysis of large amounts of data generated by connected devices and sensors, which is estimated to generate around 4.4 zettabytes of data per year.

The Robot Operating System (ROS) is an open-source framework that provides a standardized way of developing robotic applications. ROS has become an essential component of the robotics industry, as it simplifies the process of building and deploying robotic systems. With ROS, developers can easily integrate sensors, hardware, and other components to build complex robotic systems. But how can developers integrate ROS data inside Elastic?

Putting ROS data to work in Elastic

The increasing amount of data generated by the Industrial Internet of Things (IIoT) presents a major challenge for the robotics industry. The sheer volume of data generated by connected devices and sensors can be overwhelming, making it difficult to manage, process, and analyze. In order to effectively harness the insights provided by this data, organizations need a platform that is robust and sufficiently scalable to handle large amounts of data in real time.

Some companies are using Elastic to help with these issues. MM Karton and REHAU use Elastic to optimize their production processes and improve the behavior of their robots, respectively. TRACTO minimizes downtime and Mean Time to Repair (MTTR) to enable customers to complete projects faster, while Clearpath Robotics gains insights into the performance of its robots to improve operations. Many other companies need to power their IIoT platform, optimizing their operations and providing valuable insights to customers.

ROS structure

The Robot Operating System (ROS) is based on a distributed architecture, which consists of a set of nodes that communicate with each other using a publish-subscribe messaging system. Each node is responsible for performing a specific task, such as processing sensor data, controlling a robot's motion, or displaying visual feedback.

Nodes in ROS communicate with each other by publishing messages on topics. Topics are named channels that allow nodes to send and receive data in a standardized format. For example, a node that processes sensor data may publish sensor readings on a topic, while a node that controls a robot's motion may subscribe to that topic to receive the sensor data and use it to adjust the robot's movement.

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Articles by Alex Salgado

Senior Developer Advocate

Bringing Elastic to robotics developers: Integrating with ROS

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