63 citations · 185 across the 37 of their papers we have counts for
5 papers · 1 filter
Central pattern generators evolved for real-time adaptation to rhythmic stimuli
Alex Szorkovszky, Frank Veenstra, Kyrre Glette
For a robot to be both autonomous and collaborative requires the ability to adapt its movement to a variety of external stimuli, whether these come from humans or other robots. Typ…
Centralized and Decentralized Control in Modular Robots and Their Effect on Morphology
Mia-Katrin Kvalsund, Kyrre Glette, Frank Veenstra
In Evolutionary Robotics, evolutionary algorithms are used to co-optimize morphology and control. However, co-optimizing leads to different challenges: How do you optimize a contro…
Rapid rhythmic entrainment in bio-inspired central pattern generators
Alex Szorkovszky, Frank Veenstra, Kyrre Glette
Entrainment of movement to a periodic stimulus is a characteristic intelligent behaviour in humans and an important goal for adaptive robotics. We demonstrate a quadruped central p…
Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation
Birk Torpmann-Hagen, Vajira Thambawita, Kyrre Glette +2
Generalizability is seen as one of the major challenges in deep learning, in particular in the domain of medical imaging, where a change of hospital or in imaging routines can lead…
Complexity-based Encoded Information Quantification in Neurophysiological Recordings
Julian Fuhrer, Alejandro Blenkmann, Tor Endestad +2
Brain activity differs vastly between sleep, cognitive tasks, and action. Information theory is an appropriate concept to analytically quantify these brain states. Based on neuroph…