Find below EMERGE’s news articles, press releases, digests of scientific publications, as well as other outreach materials.
Publication: Lifelong Evolution of Swarms
13 July 2025
EMERGE partners from the University of Bristol introduce a lifelong evolutionary framework for swarms, where a population of swarm controllers is evolved in a dynamic environment that incrementally presents novel tasks.
EMERGE partners are keynote speakers at ICRA 2025
26 June 2025
The prestigious IEEE International Conference on Robotics and Automation (ICRA) took place 19–23 May in Atlanta, USA.
Publication: ESN with Delayed Inputs to Model Industrial Processes
22 June 2025
In this work, EMERGE partners from the University of Pisa introduce a Delayed Input Echo State Network to better capture the time-dependent relationships in process modeling.
Workshop on Awareness in Learning Agents
17 June 2025
EMERGE partners are organizing the Workshop during the 28th European Conference on Artificial Intelligence (ECAI), in Bologna, Italy, on 25-26 October 2025.
Publication: Learning Low-Dimensional Strain Models of Soft Robots by Looking at the Evolution of Their Shape with Application to Model-Based Control
04 June 2025
In this work, EMERGE partners from Delft University of Technology introduce a streamlined method for learning low-dimensional, physics-based models that are both accurate and easy to interpret.
Publication: 3D Printable Gradient Lattice Design for Multi-Stiffness Robotic Fingers
04 June 2025
In this work, EMERGE partners from the Delft University of Technology focus on the development of a robotic finger that emulates the multi-stiffness characteristics of human fingers.
Publication: SpikingSoft: A Spiking Neuron Controller for Bio-inspired Locomotion with Soft Snake Robots
04 June 2025
EMERGE partners from the Delft University of Technology explore in this work the possibility of generating locomotion gaits by utilising physical oscillations in a soft snake by means of a low-level spiking neural mechanism.
Publication: Nanowire Neural Networks for time-series processing
14 May 2025
In this work, EMERGE partners from the University of Pisa introduce a novel computational framework inspired by the physics of nanowire memristive networks, which they embed into the context of Recurrent Neural Networks (RNNs) for time-series processing.
Publication: Port-Hamiltonian Architectural Bias for Long-Range Propagation in Deep Graph Networks
06 May 2025
EMERGE partners from the University of Pisa introduce port-Hamiltonian Deep Graph Networks, a novel framework that models neural information flow in graphs by building on the laws of conservation of Hamiltonian dynamical systems.
