Partners & collaboration
Better technology.
Built together.
We work with platform providers, engineering teams and research organizations to bring connected systems to life, and turn shared requirements into useful software.
Technology that works together.
Capabilities built around real needs.
Ideas advanced through collaboration.
Technology partnerships
Middleware meets your platform.
We collaborate with hardware and operating-system providers to help developers integrate eProsima technology into their products.
Featured technology partnership
Renesas
Connecting embedded platforms
to the ROS 2 ecosystem.
Our collaboration brings micro-ROS to Renesas RA microcontrollers, helping engineering teams connect embedded devices with ROS 2 applications.
We work on platform integration and maintenance, with engineering support available for developers building on the supported boards.
NXP
eProsima is listed in NXP’s partner ecosystem, connecting our middleware expertise with embedded-platform development.
QNX
We collaborate to support eProsima products on QNX. QNX also includes open-source Fast DDS in the software it provides to its customers.
Wind River
Our collaboration supports eProsima products on VxWorks, helping connect middleware with real-time operating-system platforms.
Past technology collaboration
AMD
Our past collaboration included micro-ROS integration work for AMD Kria platforms and middleware demonstrations. It forms part of our experience connecting embedded hardware with robotics software.
Sponsored development
Your requirements can move the technology forward.
Organizations have funded or contributed to specific developments in Fast DDS and its tools. These collaborations have turned application needs into capabilities available to the wider community.
Observability
Deutsche Bahn
See how the system communicates.
Supported the Fast DDS Statistics Module, Statistics Backend and Fast DDS Monitor for the Sensors4Rail project.
Efficient data delivery
Sony
Move data with less overhead.
Supported Shared Memory Transport and Data-sharing delivery, and part of the development of Content Filtered Topics for ROS 2.
Discovery & integration
Open Robotics
Connect more systems.
Sponsored Discovery Server and Integration Service, supporting discovery at scale and connections between different software systems.
Application coordination
ESO
Wait for the conditions that matter.
Supported Conditions and Wait-sets in Fast DDS for the European Southern Observatory’s Extremely Large Telescope project.
Changing networks
Tomahawk Robotics
Adapt to changing interfaces.
Funded support for changing network interfaces and contributed to Android support in Fast DDS.
Persistence
Hexagon Geosystems
Retain larger data samples.
Sponsored improvements to the Fast DDS persistence service, enabling storage and recovery of samples larger than 65 kB.
Cloud & edge
Rapyuta Robotics
Connect DDS across networks.
Collaborated with eProsima on DDS Router, connecting DDS networks across cloud, edge and wide-area deployments.
Real-time behaviour
Apex.AI
Make execution more predictable.
Sponsored work on static allocations and non-blocking calls in Fast DDS to address real-time application requirements.
Security observability
Canonical
Make security events visible.
Contributed the DDS Security Logging plugin for Fast DDS, supporting inspection of security events and integration with SIEM systems.
Have a capability in mind? We can discuss its scope, development and delivery.
Featured research collaborations
Shared expertise. New possibilities.
From embedded robotics to machine learning and human–robot interaction, we contribute technology and engineering—and coordinate projects that bring research teams together.
micro-ROS / OFERA
Bring ROS 2 to microcontrollers.
OFERA created the foundations of micro-ROS, extending ROS 2 to resource-constrained devices. We coordinated the project and contributed middleware expertise.
Completed research project · ongoing open-source technology
ALMA
Explore human-centric machine learning.
A research collaboration investigating algebraic machine learning, explainability and distributed learning. eProsima coordinated the consortium.
Completed research project
SustainML
Design more sustainable ML systems.
Research into model–hardware co-design and the resource costs of machine learning. eProsima coordinates the project’s collaborative development.
European research collaboration
ARISE
Connect industrial robots with people.
We contribute Vulcanexus and human–robot interaction technology to an open framework for developing and deploying industrial HRI applications.
European research collaboration
XHALA
Our next research collaboration.
eProsima is part of the announced XHALA consortium, alongside DFKI, Human Design Group, ENAC and Tech2Market.
Project starting soonA network built over many projects.
Our wider research collaborations include KIARA, DIH², FI-CORE and FI-WARE. Their organizations are included in the directory below, alongside partners from the featured projects.
These projects have received European Union research funding. Funding acknowledgements and project-specific information are available through the linked project records.
Research partner directory
Explore our research network.
Organizations from current, announced and past research collaborations. Choose a project or search by organization name.
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Community connections
Collaboration also means sharing knowledge.
Knowledge sharing
ROS-Industrial
We have delivered tutorials and presentations for the ROS-Industrial community, sharing practical experience with middleware and robotics integration.
Former membership
Autoware Foundation
eProsima was previously a member of the Autoware Foundation. We retain this connection here as part of our collaboration history, not as a claim of current membership.
Partner with eProsima
What could we build together?
Tell us about your platform, the capability you want to develop or the research challenge you want to explore.
Integrate middleware with your hardware or operating system.
Fund a feature or tool around your application requirements.
Collaborate on robotics, distributed systems or AI research.
