Clawdite

Orchestrator REST API

Mon, 01 Jan 0001 00:00:00 +0000

Create and read entities

The Orchestrator REST API enables to create and read all the different kinds of Digital Twin entities described in Model section.

This API is available through a dedicated Swagger interface for each Clawdite instance. Furthermore, it is possible to generate API clients for several languages, such as Python, Java and JavaScript. The mentioned clients are already generated and available within each Clawdite instance and make it possible to interact with Clawdite’s Orchestrator from external components.

Orchestrator REST API

Mon, 01 Jan 0001 00:00:00 +0000

Create and read entities

The Orchestrator REST API enables to create and read all the different kinds of Digital Twin entities described in Model section.

IIoT Middleware

Mon, 01 Jan 0001 00:00:00 +0000

Save and read real-time metrics and states

The IIoT Middleware enables dynamic data published from Gateways and Functional Modules to be collected and made available to other interested modules, such as the HDM which is in charge of persisting them.

Currently only the MQTT protocol is supported, so modules need to publish and subscribe to specific topics. MQTT clients are available for different languages, in the following a few examples in Python and Java will be provided. Please refer to the official documentation to learn more about how to use the client in your project.

IIoT Middleware

Mon, 01 Jan 0001 00:00:00 +0000

Save and read real-time metrics and states

HDM REST API

Mon, 01 Jan 0001 00:00:00 +0000

Read historical metrics and states

The HDM REST API enables to get all the historical data related to metrics and states (i.e. dynamic data) that were published to the IIoT Middleware and persisted through the HDM, as described in Architecture section.

HDM REST API

Mon, 01 Jan 0001 00:00:00 +0000

Read historical metrics and states

Skills modelling

Mon, 01 Jan 0001 00:00:00 +0000

Model operators skills

The Orchestrator REST API enables to create and read all the Digital Twin entities described in Model section, in particular the characteristics (i.e. quasi-static data). CharacteristicDescriptor and CharacteristicValue are used in order to model operator skills (e.g., work experience, manual dexterity), besides the general features (e.g., sex, age, handedness).

Skills modelling

Mon, 01 Jan 0001 00:00:00 +0000

Model operators skills

Clawdite v0.4

Mon, 04 Aug 2025 00:00:00 +0000

We’re thrilled to announce the release of Clawdite v0.4, a substantial update powered by real-world feedback and the growing adoption of the platform across XR5.0 partners and pilots.
This version strengthens our commitment to intelligent, interoperable workforce data, with a sharp focus on integration, validation, and scalability.

What’s New?

Clawdite v0.4 delivers critical updates to both the technical infrastructure and user-facing services, ensuring the platform can support increasingly complex Human Digital Twin use cases in industrial environments.

Skill Mapping in the Circular TwAIn Project

Tue, 13 May 2025 00:00:00 +0000

The Circular TwAIn project is redefining workforce optimization by integrating AI technologies into the industrial ecosystem. At the heart of this transformation lies Clawdite, our versatile platform, which plays a pivotal role in the Human Digital Twin (HDT) component. One of the project’s key achievements is the successful mapping of operator skills to the O*NET Content Model, enabling smarter and more efficient workforce management through AI-powered task assignment.

Mapping Operator Skills with O*NET

To model and standardize operator skills, we leveraged the O*NET Content Model (O*NET Content Model), a comprehensive taxonomy designed by the U.S. Department of Labor. This model serves as a structured foundation to describe work and worker characteristics in a consistent and analyzable format.

Clawdite Joins XR5.0

Mon, 18 Nov 2024 00:00:00 +0000

Clawdite is now an integral component of the newly launched XR5.0 project, a forward-looking European initiative that merges cutting-edge XR technology, AI, and Human Digital Twins to redefine how people and machines collaborate in Industry 5.0 environments.

What Is XR5.0?

XR5.0 aims to revolutionize industrial extended reality (XR) by combining AI, human-centric digital twins, and European-made XR technologies to support a wide range of Industry 5.0 applications. These include:

Ergonomic and personalized training,
Intelligent asset maintenance,
Worker guidance and monitoring,
Human-AI collaboration via explainable and generative AI.

XR5.0 will implement and test six high-TRL pilot applications across real manufacturing environments, creating a strong foundation for sustainable industrial XR adoption in Europe.

Clawdite v0.3

Tue, 06 Feb 2024 00:00:00 +0000

We’re excited to announce the release of Clawdite v0.3, a major step forward in our mission to create a more intelligent, structured, and actionable representation of workforce data. This version brings significant enhancements to the data model, focusing on a comprehensive approach to modeling worker skills, tasks, and exemptions, laying the foundation for AI-driven decision support in manufacturing and industrial environments.

What’s New?

The Clawdite v0.3 release introduces a suite of new capabilities specifically designed to support advanced workforce intelligence systems like the Human Digital Twin (HDT) used in the Circular TwAIn project.

Clawdite v0.2

Tue, 17 Oct 2023 00:00:00 +0000

We announce the release of Clawdite v0.2, a significant update focused on making the platform more resilient, modern, and developer-friendly. This release includes deep upgrades to our data infrastructure, enhanced data availability features, and a fully unified API documentation system designed to streamline integration and usage.

Key Highlights

Clawdite v0.2 is primarily a technical refinement release, aimed at making the platform faster, cleaner, and more accessible. While the functional data model from v0.1 remains stable, this version brings a host of improvements across the stack.

Clawdite will be presented at CIRP-CMS2022

Thu, 09 Jun 2022 00:00:00 +0000

Our paper on Clawdite will be presented at CMS2022, the 55th edition of the CIRP International Conference on Manufacturing Systems. The conference is organised by the University of Applied Sciences and Arts of Southern Switzerland - Department of Innovative Technologies and it will be held in Lugano between the 28th of June and the 1st of July.

Selecting Wearable Devices using AHP

Wed, 01 Jun 2022 00:00:00 +0000

Adopting wearable devices is crucial in Industry 5.0 applications, where humans become part of the digital representation of the factory, the so called Human Digital Twins. However, the selection of the devices to use turns to be cumbersome for practitioners and researchers, because of the wide availability of devices in the market.

We faced this criticality while adopting Clawdite in a real-world application, where the aim was to monitor worker’s physiological data so that to enhance the human-in-the-loop control of a production system.

Clawdite published in Procedia CIRP

Thu, 26 May 2022 00:00:00 +0000

In the context of the Industry 4.0 approach, applications and solutions supporting monitoring, simulation, optimisation, and decision-making in production systems are exponentially growing.

Digital twins are the silver bullet for these solutions, given their capability of providing comprehensive digital representations of production systems, which are continuously updated by leveraging IIoT (Industrial Internet of Things) systems.

However, digital twins designed for Industry 4.0 applications are limited in representing human operators, which instead are a key component in the emerging Industry 5.0 paradigm.

Clawdite v0.1

Wed, 05 Jan 2022 00:00:00 +0000

Checkout the first version of the Clawdite platform from GitLab.

This is the version we demoed during the first STAR project review meeting. While the core functionalities of Clawdite are there, this version is still not production-ready, thus we recommend to use it in development environments only.

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Mon, 01 Jan 0001 00:00:00 +0000