Kyrre Glette

Image of Kyrre Glette
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Phone +47 228 41695
Available hours By appointment
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Visiting address Forskningveien 3A Harald Schjelderups hus 0373 OSLO
Postal address PO box 1080 Blindern 0316 OSLO Norway

Research Profile

My main research interest is automatic co-design of robot bodies and behaviors, the relationship between these, and how this can be achieved through artificial intelligence methods.

Through our robotic platform DyRET we can study the relationship between optimization of body and control parameters. The platform is fully open source hardware.

Academic interests

  • Artificial intelligence
  • Evolutionary Robotics
  • Evolutionary computation
  • Evolvable hardware

Teaching

  • Artificial intelligence and robotics topics, especially evolutionary and bio-inspired methods
  • Digital design and computer architecture
  • Supervision of MSc student projects
Tags: Robotics, Artificial Intelligence, Evolutionary Computing, Evolvable Hardware, Biologically-inspired Computing, Embedded Systems, Machine Learning

Publications

  • P. R. Lewis, A. Chandra, and K. Glette, “Self-awareness and self-expression: Inspiration from psychology,” in Self-aware Computing Systems - An Engineering Approach, Natural Computing, ch. 2, pp. 9–21, Springer, 2016.
  • T. F. Nygaard, C. P. Martin, E. Samuelsen, J. Torresen, and K. Glette, “Real-world evolution adapts robot morphology and control to hardware limitations,” in Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2018, pp. 125–132, ACM, 2018.
  • M. Jelisavcic, K. Glette, E. Haasdijk, and A. E. Eiben, “Lamarckian evolution of simulated modular robots,” Frontiers in Robotics and AI, vol. 6, p. 9, 2019.
  • U. Côté-Allard, C. L. Fall, A. Drouin, A. Campeau-Lecours, C. Gosselin, K. Glette, F. Laviolette, and B. Gosselin, “Deep learning for electromyographic hand gesture signal classification using transfer learning,” IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 27, no. 4, pp. 760–771, 2019. 
  • T. F. Nygaard, C. P. Martin, J. Torresen, and K. Glette, “Self-modifying morphology experiments with DyRET: Dynamic robot for embodied testing,” in 2019 International Conference on Robotics and Automation (ICRA), pp. 9446–9452, 2019.
  • J. Nordmoen, T. F. Nygaard, K. O. Ellefsen, and K. Glette, “Evolved embodied phase coordination enables robust quadruped robot locomotion,” in Proceedings of the Genetic and Evolutionary Computation Conference, GECCO ’19, pp. 133–141, ACM, 2019.
  • C. P. Martin, K. Glette, T. F. Nygaard, and J. Torresen, “Understanding musical predictions with an embodied interface for musical machine learning,” Frontiers in Artificial Intelligence, vol. 3, p. 6, 2020.
  • S. A. Engebraaten, J. Moen, O. A. Yakimenko, and K. Glette, “A framework for automatic behavior generation in multi-function swarms,” Frontiers in Robotics and AI, vol. 7, p. 175, 2020.
  • Côté-Allard, Ulysse; Gagnon-Turcotte, Gabriel; Phinyomark, Angkoon; Glette, Kyrre Harald; Scheme, Erik; Laviolette, François & Gosselin, Benoit (2021). A Transferable Adaptive Domain Adversarial Neural Network for Virtual Reality Augmented EMG-Based Gesture Recognition.. IEEE transactions on neural systems and rehabilitation engineering.  ISSN 1534-4320. . doi: 10.1109/TNSRE.2021.3059741 Show summary
  • 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 Full text in Research Archive. Show summary
  • 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 Full text in Research Archive. Show summary
  • Barnes, Chloe M; Ekárt, Anikó; Ellefsen, Kai Olav; Glette, Kyrre; Lewis, Peter R. & Tørresen, Jim (2020). Coevolutionary Learning of Neuromodulated Controllers for Multi-Stage and Gamified Tasks, In  2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS).  IEEE.  ISBN 978-1-7281-7278-1.  Artikkel.  s 129 - 138
  • Côté-Allard, Ulysse; Gagnon-Turcotte, Gabriel; Phinyomark, Angkoon; Glette, Kyrre; Scheme, Erik; Laviolette, Francois & Gosselin, Benoit (2020). Unsupervised Domain Adversarial Self-Calibration for Electromyography-Based Gesture Recognition. IEEE Access.  ISSN 2169-3536.  8, s 177941- 177955 . doi: 10.1109/ACCESS.2020.3027497 Full text in Research Archive. Show summary
  • Engebråten, Sondre Andreas; Moen, Hans Jonas Fossum; Yakimenko, Oleg A. & Glette, Kyrre (2020). A framework for automatic behavior generation in multi-function swarms. Frontiers in Robotics and AI.  ISSN 2296-9144.  7:579403, s 1- 19 . doi: 10.3389/frobt.2020.579403 Full text in Research Archive.
  • Erdem, Cagri; Jensenius, Alexander Refsum; Glette, Kyrre; Krzyzaniak, Michael Joseph & Veenstra, Frank (2020). Air-Guitar Control of Interactive Rhythmic Robots. Proceedings of the International Conference on Live Interfaces (Proceedings of ICLI).  ISSN 2663-9041.  s 208- 210 Show summary
  • 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 Show summary
  • Milojevic, Andrija & Glette, Kyrre (2020). Design Optimization of Terrestrial-Walking Soft Robots, In  Proceedings of The Fifth International Conference – MASING 2020.  Faculty of Mechanical Engineering in Niš.  ISBN 978-86-6055-139-1.  1.  s 225 - 228
  • Nordmoen, Jørgen Halvorsen; Veenstra, Frank; Ellefsen, Kai Olav & Glette, Kyrre (2020). Quality and Diversity in Evolutionary Modular Robotics, In  2020 IEEE Symposium Series on Computational Intelligence (SSCI).  IEEE.  ISBN 978-1-7281-2547-3.  1.  s 2109 - 2116
  • Nygaard, Tønnes; Howard, David & Glette, Kyrre (2020). Real world morphological evolution is feasible, In Carlos A. Coello Coello (ed.),  GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion.  Association for Computing Machinery (ACM).  ISBN 978-1-4503-7127-8.  1.  s 1392 - 1394 Show summary
  • Veenstra, Frank & Glette, Kyrre (2020). How Different Encodings Affect Performance and Diversification when Evolving the Morphology and Control of 2D Virtual Creatures, In Josh Bongard (ed.),  The 2020 Conference on Artificial Life.  MIT Press.  1.  s 592 - 601 Full text in Research Archive. Show summary
  • Ahmadi, Arash; Till, Katharina; Hafting, Yngve; Schuttpelz, Mark; Bjørås, Magnar; Glette, Kyrre; Tørresen, Jim; Rowe, Alexander D. & Dalhus, Bjørn (2019). Additive manufacturing of laminar flow cells for single-molecule experiments. Scientific Reports.  ISSN 2045-2322.  9(1) . doi: 10.1038/s41598-019-53151-z Full text in Research Archive.
  • Côté-Allard, Ulysse; Latyr Fall, Cheikh; Drouin, Alexandre; Campeau-Lecours, Alexandre; Gosselin, Clément; Glette, Kyrre Harald; Laviolette, François & Gosselin, Benoit (2019). Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning. IEEE transactions on neural systems and rehabilitation engineering.  ISSN 1534-4320. . doi: 10.1109/TNSRE.2019.2896269
  • Côté-Allard, Ulysse; Latyr Fall, Cheikh; Drouin, Alexandre; Campeau-Lecours, Alexandre; Gosselin, Clément; Glette, Kyrre; Laviolette, Francois & Gosselin, Benoit (2019). Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning. IEEE transactions on neural systems and rehabilitation engineering.  ISSN 1534-4320.  27(4), s 760- 771 . doi: 10.1109/TNSRE.2019.2896269 Full text in Research Archive. Show summary
  • Jelisavcic, Milan; Glette, Kyrre; Haasdijk, Evert & Eiben, AE (2019). Lamarckian Evolution of Simulated Modular Robots. Frontiers in Robotics and AI.  ISSN 2296-9144.  6(9) . doi: 10.3389/frobt.2019.00009 Full text in Research Archive. Show summary
  • Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob & Tørresen, Jim (2019). Two-Stage Transfer Learning for Heterogeneous Robot Detection and 3D Joint Position Estimation in a 2D Camera Image Using CNN. IEEE International Conference on Robotics and Automation (ICRA).  ISSN 1050-4729.  2019-May, s 8883- 8889 . doi: 10.1109/ICRA.2019.8794077 Full text in Research Archive.
  • Nordmoen, Jørgen Halvorsen; Nygaard, Tønnes Frostad; Ellefsen, Kai Olav & Glette, Kyrre (2019). Evolved embodied phase coordination enables robust quadruped robot locomotion, In Manuel López-Ibáñez (ed.),  GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference.  Association for Computing Machinery (ACM).  ISBN 978-1-4503-6111-8.  Kapittel.  s 133 - 141 Full text in Research Archive.
  • 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 Full text in Research Archive.
  • 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 Full text in Research Archive.
  • 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, In  Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019.  Springer.  ISBN 978-3-030-35664-4.  Artikkel.  s 58 - 68
  • St-Onge, David; Côté-Allard, Ulysse; Glette, Kyrre Harald; Benoit, Gosselin & Beltrame, Giovanni (2019). Engaging with Robotic Swarms: Commands from Expressive Motion. ACM Transactions on Human-Robot Interaction.  ISSN 2573-9522.  8(2) . doi: 10.1145/3323213 Full text in Research Archive. Show summary
  • St-Onge, David; Côté-Allard, Ulysse; Glette, Kyrre Harald; Gosselin, Benoit & Beltrame, Giovanni (2019). Engaging with Robotic Swarms: Commands from Expressive Motion. ACM Transactions on Human-Robot Interaction.  ISSN 2573-9522. . doi: 10.1145/3323213
  • Ahmadi, Arash; Rosnes, Ida; Blicher, Pernille; Diekmann, Robin; Schüttpelz, Mark; Glette, Kyrre; Tørresen, Jim; Bjørås, Magnar; Dalhus, Bjørn & Rowe, Alexander D. (2018). Breaking the speed limit with multimode fast scanning of DNA by Endonuclease V. Nature Communications.  ISSN 2041-1723.  9(1) . doi: 10.1038/s41467-018-07797-4 Full text in Research Archive.
  • Engebråten, Sondre Andreas; Glette, Kyrre & Yakimenko, Oleg (2018). Field-Testing of High-Level Decentralized Controllers for a Multi-Function Drone Swarm. IEEE International Conference on Control and Automation.  ISSN 1948-3449.  2018-June, s 379- 386 . doi: 10.1109/ICCA.2018.8444354
  • Engebråten, Sondre Andreas; Glette, Kyrre & Yakimenko, Oleg (2018). Networking-enabling enhancement for a swarm of COTS Drones. IEEE International Conference on Control and Automation.  ISSN 1948-3449.  2018-June, s 562- 569 . doi: 10.1109/ICCA.2018.8444274
  • Engebråten, Sondre Andreas; Moen, Hans Jonas Fossum; Yakimenko, Oleg & Glette, Kyrre (2018). Evolving a Repertoire of Controllers for a Multi-function Swarm. Lecture Notes in Computer Science (LNCS).  ISSN 0302-9743.  10784, s 734- 749 . doi: 10.1007/978-3-319-77538-8_49
  • Engebråten, Sondre Andreas; Yakimenko, Oleg; Moen, Hans Jonas Fossum & Glette, Kyrre (2018). Towards a Multi-Function Swarm That Adapts to User Preferences, In  Swarms: From Biology to Robotics and Back. ICRA 2018 Workshop.  Harvard University.  1. Full text in Research Archive.

View all works in Cristin

  • Glette, Kyrre (2020). Evolutionary algorithms for intelligent robots.
  • Jensenius, Alexander Refsum; Erdem, Cagri; Kwak, Dongho Daniel; Rahman, Habibur; Glette, Kyrre; Krzyzaniak, Michael Joseph; Lan, Qichao & Fasciani, Stefano (2020). Strings On-Line. Show summary
  • Krzyzaniak, Michael Joseph; Kwak, Dongho Daniel; Veenstra, Frank; Erdem, Cagri; Wallace, Benedikte; Jensenius, Alexander Refsum & Glette, Kyrre (2020). Dr. Squiggles rhythmical robots. Show summary
  • Krzyzaniak, Michael Joseph; Veenstra, Frank; Erdem, Cagri; Glette, Kyrre & Jensenius, Alexander Refsum (2020). Interactive Rhythmic Robots.
  • Lee, Wonho & Glette, Kyrre (2020). A Neuroevolutionary Approach to Evolve a Flexible Neural Controller for a Morphology Changing Quadruped Robot.
  • Nygaard, Tønnes; Glette, Kyrre; Tørresen, Jim & Martin, Charles Patrick (2020). Legging It: An Evolutionary Approach to Morphological Adaptation for a Real-World Quadruped Robot. Series of dissertations submitted to the Faculty of Mathematics and Natural Sciences, University of Oslo.. 2308. Full text in Research Archive.
  • Stensby, Emma Hjellbrekke & Glette, Kyrre (2020). Co-evolving morphology and controller in an open-ended environment.
  • Ahmadi, Arash; Rosnes, Ida; Blicher, Pernille; Diekmann, Robin; Schuttpelz, Mark; Glette, Kyrre; Tørresen, Jim; Bjørås, Magnar; Dalhus, Bjørn & Rowe, Alexander D. (2019). Publisher Correction: Breaking the speed limit with multimode fast scanning of DNA by Endonuclease V (Nature Communications, (2018), 9, 1, (5381), 10.1038/s41467-018-07797-4). Nature Communications.  ISSN 2041-1723.  10(1) . doi: 10.1038/s41467-019-10070-x
  • Glette, Kyrre (2019). Kunstig intelligens for tilpasningsdyktige roboter.
  • Glette, Kyrre (2019). Kunstig intelligens for tilpasningsdyktige roboter.
  • Glette, Kyrre; Nygaard, Tønnes Frostad & Vogt, Yngve (2019, 19. november). Her er universitetets nest selvlærende robot. [Fagblad].  Teknisk ukeblad.
  • Jensenius, Alexander Refsum; Martin, Charles Patrick; Erdem, Cagri; Lan, Qichao; Fuhrer, Julian Peter; Gonzalez Sanchez, Victor Evaristo; Zelechowska, Agata; Glette, Kyrre & Nymoen, Kristian (2019). Self-playing Guitars. Show summary
  • Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob & Tørresen, Jim (2019). Two-Stage Transfer Learning for Heterogeneous Robot Detection and 3D Joint Position Estimation in a 2D Camera Image Using CNN.
  • Nordmoen, Jørgen Halvorsen; Nygaard, Tønnes Frostad; Ellefsen, Kai Olav & Glette, Kyrre (2019). Evolved embodied phase coordination enables robust quadruped robot locomotion.
  • Nygaard, Tønnes Frostad & Glette, Kyrre (2019, 28. oktober). Her er universitetets mest avanserte, selvlærende robot. [Fagblad].  Apollon.
  • Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2019). Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing.
  • 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.
  • Nygaard, Tønnes Frostad; Nordmoen, Jørgen Halvorsen; Martin, Charles Patrick; Tørresen, Jim & Glette, Kyrre (2019). Lessons Learned from Real-World Experiments with DyRET: the Dynamic Robot for Embodied Testing.
  • Tørresen, Jim; Glette, Kyrre & Ellefsen, Kai Olav (2019). Adaptive Robot Body and Control for Real-World Environments.
  • Tørresen, Jim; Glette, Kyrre & Ellefsen, Kai Olav (2019). Intelligent, Adaptive Robots in Real-World Scenarios.
  • Engebråten, Sondre Andreas; Yakimenko, Oleg; Moen, Hans Jonas Fossum & Glette, Kyrre (2018). Evolving a Repertoire of Controllers for a Multi-Function Swarm.
  • Engebråten, Sondre Andreas; Yakimenko, Oleg; Moen, Hans Jonas Fossum & Glette, Kyrre (2018). Towards a Multi-Function Swarm That Adapts to User Preferences.

View all works in Cristin

Published Nov. 4, 2010 1:55 PM - Last modified Mar. 17, 2021 1:03 PM