Find below EMERGE’s news articles, press releases, digests of scientific publications, as well as other outreach materials.
Publication: Guiding Soft Robots with Motor-Imagery Brain Signals and Impedance Control
13 May 2024
In this work, EMERGE partners from Delft University of Technology and collaborators present an alternative pathway towards safe and effective robot operation using Brain Machine Interfaces (BMIs) by combining wearable EEG with physically embodied safety in soft robots.
Publication: Nonlinear Modes as a Tool for Comparing the Mathematical Structure of Dynamic Models of Soft Robots
13 May 2024
In this work, EMERGE partners from the Delft University of Technology and collaborators propose to use the recent nonlinear extension in modal theory - called eigenmanifolds - as a means to evaluate control-oriented models for soft robots and compare them.
Publication: Co-perceiving: Bringing the social into perception
06 May 2024
Humans and other animals possess the remarkable ability to discern which objects and spaces are perceived by others and which remain private to themselves. In this comprehensive review, EMERGE partners from the Ludwig Maximilian University of Munich advocate for a broader and more mechanistic understanding of this phenomenon, termed co-perception.
Publication: Quasi-Metacognitive Machines: Why We Don’t Need Morally Trustworthy AI and Communicating Reliability is Enough
03 May 2024
In this work, EMERGE partners from the Ludwig Maximilian University of Munich argue that developing morally trustworthy AI is not only unethical, as it promotes trust in an entity that cannot be trustworthy, but it is also unnecessary for optimal calibration.
Publication: MultiSTOP: Solving Functional Equations with Reinforcement Learning
30 April 2024
In this work, EMERGE partners from the University of Pisa develop MultiSTOP, a Reinforcement Learning framework for solving functional equations in physics.
EMERGE partners get together in Paris
25 April 2024
The EMERGE consortium met on May 23rd and 24th in Paris, France, to discuss recent developments in each area and plans for the future of the project.
Publication: Evolving Dynamic Fault Mitigation Strategies in a Robot Swarm for Collective Transportation
17 April 2024
In this work, EMERGE partners present a novel approach to learning dynamic fault mitigation via neuroevolution, where mitigation actions are implemented by both faulty and non-faulty robots in a collective transport scenario.
Publication: Deep Learning for Dynamic Graphs: Models and Benchmarks
03 April 2024
EMERGE partners from the University of Pisa survey recent advantages in learning both temporal and spatial information, providing a comprehensive overview of the current state-of-the-art in the domain of representation learning for dynamic graphs.
Deep Learning meets Neuromorphic Hardware
03 April 2024
EMERGE partners from UNIPI are organising the second edition of the workshop during the next ECML-PKDD, which will take place between September 9th and 13th, 2024 in Vilnius, Lithuania.
