AI for connected systems
Connect AI to your
real-world systems.
Bring intelligence to engineering tools, robots and distributed applications. Connect AI with live data and software capabilities to help people understand systems and carry out clearly defined tasks.
Live data and application tools.
Context for useful answers.
Tasks with a defined scope.
Your systems. Your data. A useful AI integration.
Start with a specific engineering or operational challenge. We help connect the pieces.
AI applications
Intelligence connected to what matters.
Make AI useful beyond the conversation. Connect it to information, tools and capabilities across your engineering workflows, software products and robots.
An assistant that helps engineers investigate, not a substitute for engineering judgement.
Ask better questions. Get useful evidence.
Help your engineering team diagnose, analyse and test systems. Connect an assistant to live measurements, application context and technical knowledge to support the same investigation.
- Inspect system state and explore communication behaviour
- Turn measurements into charts and explanations
- Build repeatable diagnostic and test workflows
AI capabilities built around your product, its users and defined operational boundaries.
Bring AI capabilities into your product.
Add AI assistants and workflows to your software so your users can query information and carry out useful tasks. Connect language models to the application capabilities you choose to expose.
- Assistants integrated into your product’s user experience
- MCP servers and application-specific tool integrations
- Permissions, validation and traceability designed for the use case
An interaction workflow built around what your robot can actually do.
From understanding people to robot behaviour.
Combine perception, language and reasoning with defined robot capabilities. Integrate AI with ROS 2 applications and evaluate interactions in the environment where the robot will operate.
- Speech, person detection and human–robot interaction
- AI tools connected to ROS 2 interfaces
- Application-specific behaviours and scenario testing
Our AI technology in action
Ask your DDS system. See the answer.
See how we’re bringing AI into DDS Monitor Pro. Connect your assistant through its built-in MCP server to inspect live systems, create visualisations and run defined operations.
- Inspect
Discover entities and investigate communication issues. - Visualise
Turn topic data and statistics into useful charts. - Test
Create and publish sample data in a test environment.
Coming soon
Our AI technology in action
From software capabilities to physical robots.
Our robotics technologies bring AI and human–robot interaction into ROS 2 applications, from VulcanAI and VulcanHRI software to the VulcanBot 01 platform.
VulcanAI
Connect AI assistants to ROS 2 capabilities through defined tools. Build workflows that combine language models, application context and robot functions.
VulcanHRI
Bring perception, speech and human–robot interaction into ROS 2 applications. Combine person and pose detection with voice and visual interfaces.
VulcanBot 01
Bring navigation, perception and human–robot interaction together on a physical robot. Explore how connected software supports real-world demonstrations and application development.
AI engineering
From a useful idea to an integrated application.
Commission an assistant, connect AI to your application tools, or develop an intelligent robotic workflow. We help scope, implement and evaluate the integration around your requirements.
Start with one useful workflow.
Bring us the problem you want to solve. Together, we define:
- The data and interfaces it needs.
- The operations it may perform.
- The results that will demonstrate success.
Research & collaboration
Exploring what comes next.
Our AI experience also draws on collaborative research into learning methods, sustainability and industrial human–robot interaction.
Algebraic machine learning
Research into machine learning based on algebraic representations of data.
More sustainable machine learning
Research into the environmental impact of developing and deploying machine-learning systems.
Industrial human–robot interaction
Open-source middleware and robotic interaction, with Vulcanexus as a software foundation.
“At DFKI, we are deeply involved in AI R&D projects with a wide range of institutions, from research institutes to private companies. In nearly every project, the resulting software modules need to be integrated into a unified framework, and eProsima’s middleware has consistently proven to be the perfect solution for this integration. Their expertise in distributed systems, robotics, and AI makes them an ideal partner, helping us coordinate activities.”
Prof Dr Paul LukowiczDFKI · Director of Embedded Intelligence
Talk to an AI engineering expert
What could AI help you do?
Tell us about the application, the people who use it and the workflow you want to improve. We’ll help define a practical integration.
Your software, data sources and interfaces.
The task you want AI to support.
Deployment and data-handling requirements.
Expected outcomes and project milestones.
