Explore our HyperMAS system

Various semi-autonomous entities will need to cooperate in order to execute multiple IoT applications. These entities will have to be self-aware and have a different amount of knowledge of the task at hand and the environment where they are located. Unfortunately, it is not always possible to provide all the necessary knowledge to the entities, especially in changing environments. To keep the knowledge of the entities up to date, they need to extend it by applying learning technologies based on Artificial Intelligence and Machine Learning. New knowledge can either be acquired by interacting with the environment (via sensors) or by interacting with the other entities in the environment. By exchanging information via a reliable and secure communication network, the entities in the environment will need to collaborate with each other to update their own knowledge to fulfill their assigned task.

The Collaborative IoT pillar includes a set of architectural components available for integration. The following are the one-pagers for each component which can be downloaded directly as PDFs:

Join The Open Call

Applications are now open for SMEs and startups to use the components to test the wider applicability of the IntellIoT framework and win 60,000 euros for a 6-month pilot! To get a complete overview of key pillars and components, explore the detailed eligibility criteria and get familiar with the application process, please find all the information you need in the Guide for Applicants.
Apply until January 9, 2023!
Guide for Applicants

Learn More about the Collaborative IoT


Prof. Dr. Simon Mayer

Lead Collaborative IoT

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