Events

FIWARE enables smart solutions across various domains. Its Context Broker enhances ROS-based robotics. Sessions feature micro-ROS for microcontrollers, FIWARE's role in agile production, and ALMA Project's Algebraic Machine Learning for transparent AI.

FIWARE is becoming the open source platform of choice for building smart solutions in multiple application domains: Smart Cities, Smart Manufacturing, Smart Agrifood, Smart Energy, ... The core component of FIWARE is the Context Broker, which provides a open standard API (NGSI-LD) which brings access to context information coming from the Internet of Things and other relevant information sources. ROS-based robotic systems can exploit context information to implement a more intelligent behavior. ML/AI algorithms implementing the intelligence of one or multiple ROS-2 robotic systems may be hosted on the cloud exploiting context information. Manufacturing Execution Systems in Factories may rely on context / digital twin data to integrate ROS-based robotic systems in the production line. During this session audience will have the opportunity to learn about the most relevant projects connected to ROS2 carried out within the FIWARE open source community which pave the way for a new generation of ROS2-based robotic solutions addressing challenges such as the execution of ROS2 in micro-controllers, supporting plug&play integration within larger complex systems or implementing extended AI capabilities based on the exploitation of context information.

FIWARE & Robotics: driving the future of robotics-based smart solutions

micros-ROS: bringing ROS 2 to MCUs

Ever wondered how to seamlessly integrate your sensors and actuators in a distributed robotic project, without having to get off your comfortable ROS 2 environment and/or having to engage in some tedious operation to integrate ad-hoc drivers and firmware? micro-ROS solves this for you, as it allows bringing a lighter version of the ROS 2 stack to microcontrollers and embedded systems, apt to fit the constrained needs of these devices. In this presentation, we give an overview of this robotic solution and comment on the state-of-the-art of the project and its most recent developments.

FIWARE for Robotics-based Agile Production

ALMA: Bringing AI to ROS2

The ALMA project is a project of the European Commission based on a new AI method called Algebraic Machine Learning (AML). AML is not based on neural networks and is not a statistical learning method; it is a purely algebraic method that allows learning from data and also from formal descriptions. With the ALMA project, the European Commission wants to leverage the unique properties of AML to build an AI of the future, more transparent and more capable of working together with the human.