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Layered Architecture

  • Intelligence Layer – Distributed intelligence that gives your heterogeneous multi-robot system the robustness and flexibility.
  • Computation Layer – Build, ship, monitor, and control distributed applications running on any machine anywhere.
  • Communications Layer – Secure and scalable machine-to-machine and machine-to-cloud communication with ROS compatibility.
  • Machine Layer – Monitor the machine and manage the onboard software – remotely via API or Web UI.

Machine Layer

The Machine layer provides a digital representation of your machines – robots, edge, and other automation equipment. Collect logs and metrics from your distributed machines in one single location to monitor and manage them. Use the APIs to build your custom dashboards and connect to your analytics software. Built using technologies that power modern data-center and with some awesome user experiences such as one-click deployments, let managing your machines be the least of your worries.

Onboard your robot now!

Communication Layer

The communication layer provides a secure and scalable robot-to-robot and robot-to-cloud communication. Use your familiar ROS interfaces, the de facto middleware in robotics, complemented with compression, QoS, and priorities, to build enterprise-grade robotics applications that scale. Leverage intuitive configurations and powerful UIs to create any communication topology that fits the needs of your solution.

Try the ROS Publisher Subscriber demo on Here.

Computation Layer

The computation layer provides a streamlined set of services for automating the build, deployment, scaling, and management of your distributed software. With a unified and standardized tooling across the robots and cloud, out of the box ROS support, enable your developers to focus on creating the best value to your customers, not on the intricacies of infrastructure. Make your operations more remote and increase your margins with powerful Web UIs and extendable APIs.

Try creating a package here

Intelligence Layer

Intelligence layer provides a state-of-the-art framework for modeling and executing the behaviours of multi-agents systems including robots, automation equipment, and software agents in the edge/cloud. Benefit from fast iteration cycles, out-of-the box solvers, and separation of engine and domain specific code, facilitating reusability. Leverage the reliability of a group of systems instead of a single monolithic system and enjoy the flexibility with respect to process constraints and other changes coming from the environment and work.

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