Madrid, June 2020
On June 17th eProsima will hold a webinar hosted by the Fiware Foundation. The Fiware Foundation offers a series of free webinars about open source platform components for Smart Solutions and eProsima is happy to present “The Use of DDS Middleware in Robotics”.
Madrid, June 2020
With the release of version 2.0, eProsima announces the compliance of Fast RTPS with the OMG DDS 1.4 standard and therefore the symbolic change of name to Fast DDS.
In addition to this achievement, Fast DDS 2.0 offers improved CPU and memory usages besides other improvements and new features.
Madrid, May 2020
eProsima sponsors this year’s ROS Developers Day 2020 on June 27th. It will be a day full of interesting topics for ROS developers of all levels, including two lectures from eProsima themselves.
Madrid, May 2020
eProsima announces the general availability of Micro XRCE-DDS 1.2.0. This release introduces the following new features:
But there is more:
The new version also changed the serial transport.
eProsima Micro XRCE-DDS is an open source wire protocol that implements the OMG DDS standard for eXtremly Resource Constrained Environments.
Madrid, May 2020
Automation is the key to the development within the supply chain and logistics sectors, as it has the potential to improve productivity while reducing costs and protecting workers’ health.
Madrid, April 2020
eProsima announces the general availability of eProsima Fast RTPS 1.10.0. This release introduces the following new features:
But there is more:
The new version also includes other features, bug fixing and performance improvements.
eProsima Fast RTPS is an open source high-performance publish-subscribe framework to share data in distributed systems using a decoupled model based on Publishers, Subscribers and Data Topics.
Madrid, March 2020
The DDS security standard includes 5 security modules.
eProsima’s Fast RTPS already includes the Authentication, Access Control and Cryptographic security plugins, and as of ROS 2 Foxy will also include the Logging plugin developed by Canonical. Therefore, Fast RTPS is the most secure open source DDS implementation for ROS 2.
Madrid, March 2020
We are proud to announce that the Robotics Department of the Spanish University Rey Juan Carlos in Madrid chose eProsima Fast RTPS as the DDS implementation to test ROS 2 Navigation 2.
Madrid, February 2020
Wind River and eProsima are collaborating to enable ROS (Robot Operating System) on critical applications by extending the platform support of ROS to the Wind River VxWorks real-time operating system (RTOS) and the Linux Foundation’s Zephyr Project. This will allow for the creation of a holistic ROS2 architecture across heterogeneous real-time systems composed of microprocessors running VxWorks and microcontrollers running Zephyr.
Madrid, February 2020
UPDATE 24/02/2020: The participation of eProsima at the Embedded World in Nuremberg is cancelled due to the recent cases of coronavirus in Italy.
eProsima will attend the Embedded World in Nuremberg from the 25th till the 27th of February 2020.
Madrid, February 2020
eProsima will be representing the micro-ROS project together with Bosch, Piap and Fiware at this year’s European Robotics Forum in Malaga from the 3rd till the 5th of March 2020.
Madrid, January 2020
eProsima announces the general availability of eProsima Fast RTPS 1.9.4. This release introduces the following new features:
But there is more:
The new version includes also bug fixing, and allocation and performance improvements.
eProsima Fast RTPS is an open source high-performance publish-subscribe framework to share data in distributed systems using a decoupled model based on Publishers, Subscribers and Data Topics.
Madrid, November 2019
eProsima announces the general availability of eProsima Fast RTPS 1.9.3. This release introduces the following new features:
But there is more:
The new version includes also bug fixing, and allocation and performance improvements.
eProsima Fast RTPS is an open source high-performance publish-subscribe framework to share data in distributed systems using a decoupled model based on Publishers, Subscribers and Data Topics.
