Publications and research
Scientific publications
Nygaard, Tønnes Frostad; Glette, Kyrre (2022). Benefits and Challenges of Morphological Adaptation in Real-world Robots. IOP Conference Series: Materials Science and Engineering . Vol. 1261.
Nordmoen, Jørgen; Nygaard, Tønnes Frostad; Samuelsen, Eivind; Glette, Kyrre
(2021).
On Restricting Real-Valued Genotypes in Evolutionary Algorithms.
Castillo, Pedro A.; Jiménez Laredo, Juan Luiz (Ed.).
Applications of Evolutionary Computation. 1. p. 3-16.
Springer.
http://hdl.handle.net/10852/91062
Ahmadi, Ahmadreza; Nygaard, Tønnes; Kottege, Navinda; Howard, David; Hudson, Nicolas
(2021).
Semi-Supervised Gated Recurrent Neural Networks for Robotic Terrain Classification.
IEEE Robotics and Automation Letters
.
Vol. 6.
https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&ar...
Nygaard, Tønnes; Martin, Charles Patrick; Howard, David; Tørresen, Jim; Glette, Kyrre
(2021).
Environmental Adaptation of Robot Morphology and Control Through Real-world Evolution.
Evolutionary Computation
.
http://hdl.handle.net/10852/86468
Nygaard, Tønnes; Martin, Charles Patrick; Tørresen, Jim; Glette, Kyrre; Howard, David
(2021).
Real-world embodied AI through a morphologically adaptive quadruped robot.
15 p.
Nature Machine Intelligence
.
http://hdl.handle.net/10852/85867
Forberg, Henrik Storm; Nygaard, Tønnes; Høvin, Mats Erling (2020). Generative Truss Optimization for Support-Free Fused Filament Fabrication. Arabnia, Hamid R.; Deligiannidis, Leonidas; Tinetti, Fernando G.; Tran, Quoc-Nam (Ed.). Proceedings of 2020 International Conference on Computational Science and Computational Intelligence (CSCI). Artikkel. p. 149-1497. IEEE Computer Society Digital Library.
Nygaard, Tønnes; Howard, David; Glette, Kyrre (2020). Real world morphological evolution is feasible. Coello Coello, Carlos A. (Ed.). GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. 1. p. 1392-1394. Association for Computing Machinery (ACM).
Martin, Charles Patrick; Glette, Kyrre; Nygaard, Tønnes; Tørresen, Jim
(2020).
Understanding Musical Predictions With an Embodied Interface for Musical Machine Learning.
Frontiers in Artificial Intelligence
.
Vol. 3.
https://doi.org/10.5281/zenodo.3451729
Nygaard, Tønnes Frostad; Nordmoen, Jørgen Halvorsen; Ellefsen, Kai Olav; Martin, Charles Patrick; Tørresen, Jim; Glette, Kyrre (2019). Experiences from Real-World Evolution with DyRET: Dynamic Robot for Embodied Testing. Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019. Artikkel. p. 58-68. Springer.
Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim; Glette, Kyrre
(2019).
Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing.
IEEE International Conference on Robotics and Automation (ICRA)
.
Vol. 2019-May.
http://hdl.handle.net/10852/70590
