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

Publication: Proprioceptive Sensing of Soft Tentacles with Model Based Reconstruction for Controller Optimization

Publication: Proprioceptive Sensing of Soft Tentacles with Model Based Reconstruction for Controller Optimization

Calendar15 May 2023

In this work, EMERGE partners from Delft University of Technology and collaborators propose a new sensing approach for soft underwater slender structures based on embedded pressure sensors and use a learning-based pipeline to link the sensor readings to the shape of the soft structure.

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Publication: Smell Driven Navigation for Soft Robotic Arms: Artificial Nose and Control

Publication: Smell Driven Navigation for Soft Robotic Arms: Artificial Nose and Control

Calendar15 May 2023

In this work, EMERGE partners from Delft University of Technology and collaborators propose an artificial nose on a soft robotic arm that ensures separate smell concentration readings.

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Publication: FinFix: A Soft Gripper With Contact-Reactive Reflex for High-Speed Pick and Place of Fragile Objects

Publication: FinFix: A Soft Gripper With Contact-Reactive Reflex for High-Speed Pick and Place of Fragile Objects

Calendar15 May 2023

In this work, EMERGE partners from Delft University of Technology propose the FinFix gripper, a non-anthropomorphic soft gripper capable of handling delicate objects at high acceleration using a contact-reactive grasping approach.

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Publication: Evolving and generalising morphologies for locomoting micro-scale robotic agents

Publication: Evolving and generalising morphologies for locomoting micro-scale robotic agents

Calendar12 April 2023

In this work, EMERGE partners from the University of Bristol and collaborators explore how the morphology of a multi-cellular micro-robotic agent can be optimised for reliable locomotion using artificial evolution in a stochastic environment.

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[In the Media] BFMTV: AI, quantum and synthetic biology under development at Da Vinci Labs

[In the Media] BFMTV: AI, quantum and synthetic biology under development at Da Vinci Labs

Calendar18 March 2023

Project partner Xavier Aubry, from Da Vinci Labs, presents the EMERGE Project in the French TV channel BFMTV.

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Publication: Touching with the eyes: Oculomotor self-touch induces illusory body ownership

Publication: Touching with the eyes: Oculomotor self-touch induces illusory body ownership

Calendar09 February 2023

In this work, EMERGE partners from Ludwig Maximilian University of Munich and collaborators hypothesise that proprioceptive information is not necessary for self-touch modulation of body-ownership.

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Publication: Anti-Symmetric DGN: a stable architecture for Deep Graph Networks

Publication: Anti-Symmetric DGN: a stable architecture for Deep Graph Networks

Calendar08 February 2023

In this work, EMERGE partners from the University of Pisa present the Anti-Symmetric Deep Graph Network (A-DGN), a framework for effective long-term propagation of information in DGN architectures designed through the lens of ordinary differential equations (ODEs).

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EMERGE Consortium secures grant awarded by European Innovation Council for the investigation of a new framework for AI collective awareness

EMERGE Consortium secures grant awarded by European Innovation Council for the investigation of a new framework for AI collective awareness

Calendar30 January 2023

Project scored first among those selected by the EIC’s Pathfinder “Awareness inside” Challenge and will receive a combined €2.8M grant from the European Commission over the next 4 years.

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Publication: Learning 3D shape proprioception for continuum soft robots with multiple magnetic sensors

Publication: Learning 3D shape proprioception for continuum soft robots with multiple magnetic sensors

Calendar30 November 2022

In their paper published in the journal Soft Matter, EMERGE partners from the Delft University of Technology (NL) and collaborators propose a new method for sensing the shape of soft robots: using magnetic sensors which are compact, sensitive, and can be easily embedded into soft robots.

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