Tønnes Nygaard

English version of this page
Brukernavn
Besøksadresse Ole Johan Dahls hus
Postadresse Postboks 1080 Blindern 0316 Oslo

Faglige interesser

  • Evolusjonær robotikk
  • Rapid prototyping
  • Kunstig intelligens og maskinlæring

Ta kontakt på epost eller kom innom kontoret mitt hvis du er på utkikk etter en masteroppgave på robin-gruppen eller lurer på noe innen robotikk du tror jeg kan hjelpe med.

Emneord: Evolusjonær Robotikk, Robotikk, Kunstig intelligens, Maskinlæring, Dyp læring

Publikasjoner

  • Elverhøy, Hilmar; Bøe, Steinar; Søyseth, Vegard & Nygaard, Tønnes (2021). Ankle Joints Are Beneficial When Optimizing Supported Real-world Bipedal Robot Gaits. arXiv. doi: 10.48550/arXiv.2105.10764.
  • Nordmoen, Jørgen; Nygaard, Tønnes Frostad; Samuelsen, Eivind & Glette, Kyrre (2021). On Restricting Real-Valued Genotypes in Evolutionary Algorithms. I Castillo, Pedro A. & Jiménez Laredo, Juan Luiz (Red.), Applications of Evolutionary Computation. Springer. ISSN 978-3-030-72699-7. s. 3–16. doi: 10.1007/978-3-030-72699-7_1. Fulltekst i vitenarkiv
  • 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. ISSN 2377-3766. 6(2), s. 1848–1855. doi: 10.1109/LRA.2021.3060437.
  • 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. ISSN 1063-6560. doi: 10.1162/evco_a_00291. Fulltekst i vitenarkiv
  • Nygaard, Tønnes; Martin, Charles Patrick; Tørresen, Jim; Glette, Kyrre & Howard, David (2021). Real-world embodied AI through a morphologically adaptive quadruped robot. Nature Machine Intelligence. doi: 10.1038/s42256-021-00320-3. Fulltekst i vitenarkiv
  • Forberg, Henrik Storm; Nygaard, Tønnes & Høvin, Mats Erling (2020). Generative Truss Optimization for Support-Free Fused Filament Fabrication. I Arabnia, Hamid R.; Deligiannidis, Leonidas; Tinetti, Fernando G. & Tran, Quoc-Nam (Red.), Proceedings of 2020 International Conference on Computational Science and Computational Intelligence (CSCI). IEEE Computer Society Digital Library. ISSN 9781728176246. s. 149–1497.
  • Nygaard, Tønnes; Howard, David & Glette, Kyrre (2020). Real world morphological evolution is feasible. I Coello Coello, Carlos A. (Red.), GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery (ACM). ISSN 978-1-4503-7127-8. s. 1392–1394. doi: 10.1145/3377929.3398095.
  • 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. ISSN 2624-8212. 3(6). doi: 10.3389/frai.2020.00006.
  • 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. Springer. ISSN 978-3-030-35664-4. s. 58–68. doi: https%3A/doi.org/10.1007/978-3-030-35664-4_6.
  • 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). ISSN 1050-4729. 2019-May, s. 9446–9452. doi: 10.1109/ICRA.2019.8793663. Fulltekst i vitenarkiv
  • Nordmoen, Jørgen Halvorsen; Nygaard, Tønnes Frostad; Ellefsen, Kai Olav & Glette, Kyrre (2019). Evolved embodied phase coordination enables robust quadruped robot locomotion. I López-Ibáñez, Manuel (Red.), GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery (ACM). ISSN 978-1-4503-6111-8. s. 133–141. doi: 10.1145/3321707.3321762. Fulltekst i vitenarkiv
  • Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2019). Evolving Robots on Easy Mode: Towards a Variable Complexity Controller for Quadrupeds. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 11454 LNCS, s. 616–632. doi: 10.1007/978-3-030-16692-2_41. Fulltekst i vitenarkiv
  • Nygaard, Tønnes Frostad; Martin, Charles Patrick; Samuelsen, Eivind; Tørresen, Jim & Glette, Kyrre (2018). Real-world evolution adapts robot morphology and control to hardware limitations. I aguirre, hernan (Red.), GECCO '18: Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery (ACM). ISSN 978-1-4503-5618-3. s. 125–132. doi: 10.1145/3205455.3205567. Fulltekst i vitenarkiv
  • Nygaard, Tønnes Frostad; Samuelsen, Eivind & Glette, Kyrre (2017). Overcoming initial convergence in multi-objective evolution of robot control and morphology using a two-phase approach. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. 10199 LNCS(Part I), s. 825–836. doi: 10.1007/978-3-319-55849-3_53. Fulltekst i vitenarkiv
  • Nygaard, Tønnes Frostad; Tørresen, Jim & Glette, Kyrre (2016). Multi-objective Evolution of Fast and Stable Gaits on a Physical Quadruped Robotic Platform. I Jin, Yaochu & Kollias, Stefanos (Red.), Proc. of 2016 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE conference proceedings. ISSN 978-1-5090-4240-1. doi: 10.1109/SSCI.2016.7850167.

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Publisert 17. sep. 2015 08:40 - Sist endret 20. mars 2021 12:48

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