When intelligence is distributed across many parts, be they robots, devices, or objects, it can be tricky for the bigger picture to emerge. Yet answering these questions is key to making collective systems that are easy to design, monitor and control.

EMERGE will deliver a new philosophical, mathematical, and technological framework to demonstrate, both theoretically and experimentally, how a collaborative awareness – a representation of shared existence, environment and goals – can arise from the interactions of elemental artificial entities.

In this effort, we will rely only on unstructured conditions that the real world demands without leveraging a pre-existing shared language between them. Our goal is to surpass the limitations and barriers of the current state-of-the-art distributed systems to produce breakthroughs and open new markets in the next generation of robotic systems.

Learn More

Latest News

Shared awareness could lead to greener, more ethical, and useful smart machines

Shared awareness could lead to greener, more ethical, and useful smart machines

Calendar31 July 2024

The EMERGE project proposes a collaborative shared awareness as a more reliable, energy-efficient, and ethically tractable framework for the coordination between artificial systems and humans than an artificial general intelligence. Read our Press Release!

View Article

Workshop on Structural Priors as Inductive Biases for Learning Robot Dynamics

Workshop on Structural Priors as Inductive Biases for Learning Robot Dynamics

Calendar03 June 2024

EMERGE partners from TUDelft are organising the “Workshop on Structural Priors as Inductive Biases for Learning Robot Dynamics” during the 20th RSS Conference, to be held in Delft, Netherlands, on July 15th, 2024.

View Article

6th International Workshop on eXplainable Knowledge Discovery in Data Mining

6th International Workshop on eXplainable Knowledge Discovery in Data Mining

Calendar31 May 2024

EMERGE partners from UNIPI are organising the workshop during the next European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD 2024), to be held in Vilnius, Lithuania, on September 13th, 2024.

View Article

Partners

The EMERGE consortium brings together the University of Pisa (Italy), Ludwig Maximilian University of Munich (Germany), Delft University of Technology (Netherlands), University of Bristol (United Kingdom), and Da Vinci Labs (France).

View Consortium