Zobrazeno 1 - 10
of 174
pro vyhledávání: '"A. Szorkovszky"'
While mathematical models, in particular self-propelled particle (SPP) models, capture many of the observed properties of large fish schools, they do not always capture the interactions of smaller shoals. Nor do these models tend to account for the o
Externí odkaz:
http://arxiv.org/abs/2304.00727
Publikováno v:
Bioinspiration and Biomimetics 18 046020 (2023)
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. Typically, legged robots have oscillation periods explicitly defined as a
Externí odkaz:
http://arxiv.org/abs/2210.08102
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 pattern generator (CPG), consisting of modified Matsuoka neurons, that
Externí odkaz:
http://arxiv.org/abs/2206.01638
Publikováno v:
Fasciani, Stefano Lucas Bravo, Pedro Pablo Szorkovszky, Alexander Glette, Kyrre . Interactive Sonification of 3D Swarmalators. Proceedings of the International Conference on New Interfaces for Musical Expression. 2024. Utrecht, Netherlands: NIME
Externí odkaz:
http://hdl.handle.net/10852/111717
One of the best-known models in network science is preferential attachment. In this model, the probability of attaching to a node depends on the degree of all nodes in the population, and thus depends on global information. In many biological, physic
Externí odkaz:
http://arxiv.org/abs/2112.11001
Autor:
Alberto Corral-Lopez, Alexander Kotrschal, Alexander Szorkovszky, Maddi Garate-Olaizola, James Herbert-Read, Wouter van der Bijl, Maksym Romenskyy, Hong-Li Zeng, Severine Denise Buechel, Ada Fontrodona-Eslava, Kristiaan Pelckmans, Judith E. Mank, Niclas Kolm
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-15 (2023)
Abstract One of the most spectacular displays of social behavior is the synchronized movements that many animal groups perform to travel, forage and escape from predators. However, elucidating the neural mechanisms underlying the evolution of collect
Externí odkaz:
https://doaj.org/article/d37cd5973fe2443ba01bcfe4930ad20a
Publikováno v:
Frontiers in Robotics and AI, Vol 10 (2023)
While evolutionary robotics can create novel morphologies and controllers that are well-adapted to their environments, learning is still the most efficient way to adapt to changes that occur on shorter time scales. Learning proposals for evolving rob
Externí odkaz:
https://doaj.org/article/0b473cdc01394eca89fbe9490058ff87
Autor:
Szorkovszky, Alexander, Veenstra, Frank, Lartillot, Olivier Serge Gabriel, Jensenius, Alexander Refsum, Glette, Kyrre
Publikováno v:
Szorkovszky, Alexander Veenstra, Frank Lartillot, Olivier Serge Gabriel Jensenius, Alexander Refsum Glette, Kyrre . Embodied Tempo Tracking with a Virtual Quadruped. Proceedings of the Sound and Music Computing Conference 2023. 2023 SMC Network
Externí odkaz:
http://hdl.handle.net/10852/110363
Publikováno v:
Szorkovszky, Alexander Veenstra, Frank Glette, Kyrre . Toward cultures of rhythm in legged robots. ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference. 2023 MIT Press
Externí odkaz:
http://hdl.handle.net/10852/109278
We propose a protocol for quantum state tomography of nonclassical states in optomechanical systems. Using a parametric drive, the procedure overcomes the challenges of weak optomechanical coupling, poor detection efficiency, and thermal noise to ena
Externí odkaz:
http://arxiv.org/abs/1811.08444