Kyrre Glette

Image of Kyrre Glette
Norwegian version of this page
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.
  • Stensby, Emma; Ellefsen, Kai Olav & Glette, Kyrre (2021). Co-optimising Robot Morphology and Controller in a Simulated Open-Ended Environment. In Castillo, Pedro A. & Jiménez Laredo, Juan Luiz (Ed.), Applications of Evolutionary Computation. Springer. ISSN 978-3-030-72699-7. doi: https%3A/doi.org/10.1007/978-3-030-72699-7_3.
  • Barnes, Chloe M; Ekárt, Anikó; Ellefsen, Kai Olav; Glette, Kyrre; Lewis, Peter R. & Tørresen, Jim (2021). Behavioural Plasticity Can Help Evolving Agents in Dynamic Environments but at the Cost of Volatility. ACM Transactions on Autonomous and Adaptive Systems. ISSN 1556-4665. 15(4). doi: 10.1145/3487918.
  • Ahmadi, Arash; Till, Katharina; Backe, Paul Hoff; Blicher, Pernille; Diekmann, Robin & Schüttpelz, Mark [Show all 10 contributors for this article] (2021). Non-flipping DNA glycosylase AlkD scans DNA without formation of a stable interrogation complex. Communications Biology. ISSN 2399-3642. doi: 10.1038/s42003-021-02400-x.
  • Nordmoen, Jørgen Halvorsen; Veenstra, Frank; Ellefsen, Kai Olav & Glette, Kyrre (2021). MAP-Elites Enables Powerful Stepping Stones and Diversity for Modular Robotics. Frontiers in Robotics and AI. ISSN 2296-9144. 8. doi: 10.3389/frobt.2021.639173. Full text in Research Archive
  • 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
  • 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
  • Côté-Allard, Ulysse; Gagnon-Turcotte, Gabriel; Phinyomark, Angkoon; Glette, Kyrre Harald; Scheme, Erik & Laviolette, François (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.
  • 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. p. 208–210.
  • Nygaard, Tønnes; Howard, David & Glette, Kyrre (2020). Real world morphological evolution is feasible. In Coello Coello, Carlos A. (Eds.), GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery (ACM). ISSN 978-1-4503-7127-8. p. 1392–1394. doi: 10.1145/3377929.3398095.
  • 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, p. 1–19. doi: 10.3389/frobt.2020.579403. Full text in Research Archive
  • Milojevic, Andrija & Glette, Kyrre (2020). Design Optimization of Terrestrial-Walking Soft Robots, Proceedings of The Fifth International Conference – MASING 2020. Faculty of Mechanical Engineering in Niš. ISSN 978-86-6055-139-1. p. 225–228.
  • Nordmoen, Jørgen Halvorsen; Veenstra, Frank; Ellefsen, Kai Olav & Glette, Kyrre (2020). Quality and Diversity in Evolutionary Modular Robotics, 2020 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE. ISSN 978-1-7281-2547-3. p. 2109–2116. doi: 10.1109/SSCI47803.2020.9308511.
  • 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, 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS). IEEE. ISSN 978-1-7281-7278-1. p. 129–138. doi: 10.1109/ACSOS49614.2020.00034.
  • Côté-Allard, Ulysse; Gagnon-Turcotte, Gabriel; Phinyomark, Angkoon; Glette, Kyrre; Scheme, Erik & Laviolette, Francois (2020). Unsupervised Domain Adversarial Self-Calibration for Electromyography-Based Gesture Recognition. IEEE Access. ISSN 2169-3536. 8, p. 177941–177955. doi: 10.1109/ACCESS.2020.3027497. Full text in Research Archive
  • 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.
  • Veenstra, Frank & Glette, Kyrre (2020). How Different Encodings Affect Performance and Diversification when Evolving the Morphology and Control of 2D Virtual Creatures. In Bongard, Josh (Eds.), The 2020 Conference on Artificial Life. MIT Press. ISSN 2693-1508. p. 592–601. doi: 10.1162/isal_a_00295. Full text in Research Archive
  • 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.
  • Côté-Allard, Ulysse; Latyr Fall, Cheikh; Drouin, Alexandre; Campeau-Lecours, Alexandre; Gosselin, Clément & Glette, Kyrre Harald [Show all 7 contributors for this article] (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.
  • Ahmadi, Arash; Till, Katharina; Hafting, Yngve; Schuttpelz, Mark; Bjørås, Magnar & Glette, Kyrre [Show all 8 contributors for this article] (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
  • 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. p. 58–68. doi: https%3A/doi.org/10.1007/978-3-030-35664-4_6.
  • 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
  • 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, p. 8883–8889. doi: 10.1109/ICRA.2019.8794077. 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, p. 9446–9452. doi: 10.1109/ICRA.2019.8793663. 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 López-Ibáñez, Manuel (Eds.), GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery (ACM). ISSN 978-1-4503-6111-8. p. 133–141. doi: 10.1145/3321707.3321762. 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, p. 616–632. doi: 10.1007/978-3-030-16692-2_41. Full text in Research Archive
  • Côté-Allard, Ulysse; Latyr Fall, Cheikh; Drouin, Alexandre; Campeau-Lecours, Alexandre; Gosselin, Clément & Glette, Kyrre [Show all 7 contributors for this article] (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), p. 760–771. doi: 10.1109/TNSRE.2019.2896269. Full text in Research Archive
  • 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
  • Engebråten, Sondre Andreas; Yakimenko, Oleg; Moen, Hans Jonas Fossum & Glette, Kyrre (2018). Towards a Multi-Function Swarm That Adapts to User Preferences, Swarms: From Biology to Robotics and Back. ICRA 2018 Workshop. Harvard University. Full text in Research Archive

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  • Jensenius, Alexander Refsum; Erdem, Cagri; Kwak, Dongho Daniel; Rahman, Habibur; Glette, Kyrre & Krzyzaniak, Michael Joseph [Show all 7 contributors for this article] (2020). Strings On-Line.
  • Krzyzaniak, Michael Joseph; Veenstra, Frank; Erdem, Cagri; Glette, Kyrre & Jensenius, Alexander Refsum (2020). Interactive Rhythmic Robots.
  • Krzyzaniak, Michael Joseph; Kwak, Dongho Daniel; Veenstra, Frank; Erdem, Cagri; Wallace, Benedikte & Jensenius, Alexander Refsum (2020). Dr. Squiggles rhythmical robots.
  • (2020). Evolutionary algorithms for intelligent robots.
  • Glette, Kyrre; Nygaard, Tønnes Frostad & Vogt, Yngve (2019). Her er universitetets nest selvlærende robot. [Business/trade/industry journal]. Teknisk ukeblad.
  • (2019). Her er universitetets mest avanserte, selvlærende robot. [Business/trade/industry journal]. Apollon.
  • Tørresen, Jim; Glette, Kyrre & Ellefsen, Kai Olav (2019). Intelligent, Adaptive Robots in Real-World Scenarios.
  • Tørresen, Jim; Glette, Kyrre & Ellefsen, Kai Olav (2019). Adaptive Robot Body and Control for Real-World Environments.
  • 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.
  • (2019). Kunstig intelligens for tilpasningsdyktige roboter .
  • 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.
  • 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.
  • Nordmoen, Jørgen Halvorsen; Nygaard, Tønnes Frostad; Ellefsen, Kai Olav & Glette, Kyrre (2019). Evolved embodied phase coordination enables robust quadruped robot locomotion .
  • Ahmadi, Arash; Rosnes, Ida; Blicher, Pernille; Diekmann, Robin; Schuttpelz, Mark & Glette, Kyrre [Show all 9 contributors for this article] (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.
  • Jensenius, Alexander Refsum; Martin, Charles Patrick; Erdem, Cagri; Lan, Qichao; Fuhrer, Julian Peter & Gonzalez Sanchez, Victor Evaristo [Show all 8 contributors for this article] (2019). Self-playing Guitars.
  • (2019). Kunstig intelligens for tilpasningsdyktige roboter.
  • Fuhrer, Julian Peter; Glette, Kyrre & Jensenius, Alexander Refsum (2018). Interactive Animation of the RITMO Logo.
  • Fuhrer, Julian; Glette, Kyrre & Jensenius, Alexander Refsum (2018). Interactive Animation of RITMO Logo.
  • Nygaard, Tønnes; Glette, Kyrre; Tørresen, Jim & Martin, Charles Patrick (2020). Legging It: An Evolutionary Approach to Morphological Adaptation for a Real-World Quadruped Robot. Universitetet i Oslo. ISSN 1501-7710. Full text in Research Archive
  • Stensby, Emma Hjellbrekke & Glette, Kyrre (2020). Co-evolving morphology and controller in an open-ended environment. Universitetet i Oslo.

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