Find below EMERGE’s news articles, press releases, digests of scientific publications, as well as other outreach materials.

Publication: Synergy-based robotic quadruped leveraging passivity for natural intelligence and behavioural diversity

Publication: Synergy-based robotic quadruped leveraging passivity for natural intelligence and behavioural diversity

Calendar17 March 2025

In this work, EMERGE partners from the Delft University of Technology develop PAWS, passive automata with synergies, a legged system with synergistic actuation that uses four actuators to control its 12 degrees of freedom.

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Publication: NiSNN-A: Noniterative Spiking Neural Network With Attention With Application to Motor Imagery EEG Classification

Publication: NiSNN-A: Noniterative Spiking Neural Network With Attention With Application to Motor Imagery EEG Classification

Calendar14 March 2025

In this work, EMERGE partners from the Delft University of Technology combine the SNN and the attention mechanisms for the EEG classification, aiming to improve precision and reduce energy consumption.

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Publication: Singular-Perturbation Control of a Tendon-Driven Soft Robot: Theory and Experiments

Publication: Singular-Perturbation Control of a Tendon-Driven Soft Robot: Theory and Experiments

Calendar11 March 2025

In this work, EMERGE partners from the Delft University of Technology analyze the influence of the actuation dynamics in tendon-driven continuum soft robots performing trajectory-tracking tasks.

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Publication: Sparse reservoir Topologies for Physical Implementations of Random Oscillators Networks

Publication: Sparse reservoir Topologies for Physical Implementations of Random Oscillators Networks

Calendar05 March 2025

In this work, EMERGE partners from the University of Pisa propose to relieve both these constraints by adopting and improving on an oscillators-based reservoir computing model called Random Oscillators Network (RON).

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Publication: Random Orthogonal Additive Filters: A Solution to the Vanishing/Exploding Gradient of Deep Neural Networks

Publication: Random Orthogonal Additive Filters: A Solution to the Vanishing/Exploding Gradient of Deep Neural Networks

Calendar26 February 2025

In this work, EMERGE partners from the University of Pisa propose a method that permits to solve the V/E gradient issue of deep learning models trained via stochastic gradient descent (SGD) methods.

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Publication: On the ethical governance of swarm robotic systems in the real world

Publication: On the ethical governance of swarm robotic systems in the real world

Calendar30 January 2025

In this work, EMERGE partners from the University of Bristol address the question: what practices would be required for the responsible design and operation of real-world swarm robotic systems?

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Exploring the Ethical Frontiers of Aware Artificial Intelligence: EU Researchers Convene in Uppsala

Exploring the Ethical Frontiers of Aware Artificial Intelligence: EU Researchers Convene in Uppsala

Calendar20 January 2025

Event organised by the European Innovation Council (EIC) funded projects in the “Awareness Inside” portfolio discusses the ethical implications of designing aware artificial intelligent systems.

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Publication: Automating the Evaluation of the Scalability, Flexibility, and Robustness of Collective Behaviors for Robot Swarms

Publication: Automating the Evaluation of the Scalability, Flexibility, and Robustness of Collective Behaviors for Robot Swarms

Calendar16 January 2025

In this work, EMERGE partners from the University of Bristol use recently proposed experimental protocols to evaluate these properties in various typical collective behaviors for robot swarms.

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Publication: The impact of labeling automotive AI as trustworthy or reliable on user evaluation and technology acceptance.

Publication: The impact of labeling automotive AI as trustworthy or reliable on user evaluation and technology acceptance.

Calendar09 January 2025

In this work, EMERGE partners from the Ludwig Maximilian University of Munich explore whether labelling AI as either “trustworthy” or “reliable” influences user perceptions and acceptance of automotive AI technologies.

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