Kyrre Glette

Image of Kyrre Glette
Norwegian version of this page
Phone +47 22841695
Available hours By appointment
Username
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.
  • Norstein, Emma Stensby; Veenstra, Frank; Ellefsen, Kai Olav; Nygaard, Tønnes & Glette, Kyrre (2023). Effects of compliant and structural parts in evolved modular robots. In Iizuki, Hiroyuki; Suzuki, Keisuke; Uno, Ryoko; Damiano, Luisa; Spychala, Nadine; Aguilera, Miguel; Izquierdo, Eduardo; Suzuki, Reiji & Baltieri, Manuel (Ed.), ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference. MIT Press. ISSN 0000000000000. doi: 10.1162/isal_a_00689. Full text in Research Archive
  • Szorkovszky, Alexander; Veenstra, Frank & Glette, Kyrre (2023). Toward cultures of rhythm in legged robots. In Iizuki, Hiroyuki; Suzuki, Keisuke; Uno, Ryoko; Damiano, Luisa; Spychala, Nadine; Aguilera, Miguel; Izquierdo, Eduardo; Suzuki, Reiji & Baltieri, Manuel (Ed.), ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference. MIT Press. ISSN 0000000000000. doi: https:/doi.org/10.1162/isal_a_00673. Full text in Research Archive
  • Veenstra, Frank; Szorkovszky, Alexander & Glette, Kyrre (2023). Decentralized Control and Morphological Evolution of 2D Virtual Creatures . In Iizuki, Hiroyuki; Suzuki, Keisuke; Uno, Ryoko; Damiano, Luisa; Spychala, Nadine; Aguilera, Miguel; Izquierdo, Eduardo; Suzuki, Reiji & Baltieri, Manuel (Ed.), ALIFE 2023: Ghost in the Machine: Proceedings of the 2023 Artificial Life Conference. MIT Press. ISSN 0000000000000. doi: https:/doi.org/10.1162/isal_a_00656.
  • Lucas Bravo, Pedro Pablo & Glette, Kyrre (2023). Human-Swarm Interactive Music Systems: Design, Algorithms, Technologies, and Evaluation. In Kitahara, Tetsuro; Aramaki, Mitsuko; Kronland-Martinet, Richard & Ystad, Sølvi (Ed.), Proceedings of the 16th International Symposium on Computer Music Multidisciplinary Research. Zenodo. ISSN 979-10-97498-04-7. p. 347–358. doi: https:/doi.org/10.5281/zenodo.10113081.
  • Erdem, Cagri; Wallace, Benedikte; Glette, Kyrre & Jensenius, Alexander Refsum (2023). Tool or Actor? Expert Improvisers' Evaluation of a Musical AI “Toddler”. Computer Music Journal. ISSN 0148-9267. doi: 10.1162/comj_a_00657.
  • Szorkovszky, Alexander; Veenstra, Frank; Lartillot, Olivier Serge Gabriel; Jensenius, Alexander Refsum & Glette, Kyrre (2023). Embodied Tempo Tracking with a Virtual Quadruped, Proceedings of the Sound and Music Computing Conference 2023. SMC Network . ISSN 978-91-527-7372-7. doi: 10.5281/zenodo.10060970.
  • Szorkovszky, Alexander; Veenstra, Frank & Glette, Kyrre (2023). From real-time adaptation to social learning in robot ecosystems. Frontiers in Robotics and AI. ISSN 2296-9144. 10. doi: 10.3389/frobt.2023.1232708. Full text in Research Archive
  • Szorkovszky, Alexander; Veenstra, Frank & Glette, Kyrre (2023). Central pattern generators evolved for real-time adaptation to rhythmic stimuli. Bioinspiration & Biomimetics. ISSN 1748-3182. 18(4). doi: 10.1088/1748-3190/ace017.
  • Fuhrer, Julian; Glette, Kyrre; Anais, Llorens; Endestad, Tor; Solbakk, Anne-Kristin & Blenkmann, Alejandro Omar (2023). Quantifying evoked responses through information-theoretical measures. Frontiers in Neuroinformatics. ISSN 1662-5196. 17. doi: 10.3389/fninf.2023.1128866. Full text in Research Archive
  • Norstein, Emma Stensby; Ellefsen, Kai Olav; Veenstra, Frank; Nygaard, Tønnes & Glette, Kyrre (2023). Evolution of linkages for prototyping of linkage based robots, Proceedings of the 2022 IEEE Symposium Series on Computational Intelligence (SSCI 2022) . IEEE conference proceedings. ISSN 978-1-6654-8768-9. p. 1283–1290. doi: 10.1109/SSCI51031.2022.10022197. Full text in Research Archive
  • Torpmann-Hagen, Birk Sebastian Frostelid; Thambawita, Vajira L B; Riegler, Michael; Halvorsen, Pål & Glette, Kyrre (2022). Segmentation Consistency Training: Out-of-Distribution Generalization for Medical Image Segmentation . In Bulterman, Dick; Kankanhalli, Mohan S.; Muehlhaeuser, Max; Persia, Fabio; Sheu, Phillip; Tsai, Jeffrey J.P.; D’Auria, Daniela; Ge, Mouzhi; Sert, Mustafa; Swaminathan, Vishy & Yamasaki, Toshihiko (Ed.), Proceedings of the 2022 IEEE International Symposium on Multimedia (ISM). IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-6654-7172-5. p. 42–49. doi: 10.1109/ISM55400.2022.00012.
  • (2022). Benefits and Challenges of Morphological Adaptation in Real-world Robots. IOP Conference Series: Materials Science and Engineering. ISSN 1757-8981. 1261. doi: 10.1088/1757-899X/1261/1/012017. Full text in Research Archive
  • Kvalsund, Mia-Katrin Ose; Glette, Kyrre & Veenstra, Frank (2022). Centralized and Decentralized Control in Modular Robots and Their Effect on Morphology. In Holler, Silvia; Löffler, Richard & Bartlett, Stuart (Ed.), ALIFE 2022: The 2022 Conference on Artificial Life. MIT Press. ISSN 0000000000000. doi: 10.1162/isal_a_00533.
  • Veenstra, Frank; Olsen, Martin Herring & Glette, Kyrre (2022). Effects of Encodings and Quality-diversity on Evolving 2D Virtual Creatures, GECCO '22: Proceedings of the Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery (ACM). ISSN 9781450392686. p. 164–167. doi: https:/doi.org/10.1145/3520304.3529053.
  • Szorkovszky, Alexander; Veenstra, Frank & Glette, Kyrre (2022). Rapid rhythmic entrainment in bio-inspired central pattern generators, 2022 International Joint Conference on Neural Networks (IJCNN). IEEE conference proceedings. ISSN 978-1-7281-8671-9. doi: 10.1109/IJCNN55064.2022.9891909.
  • Krzyzaniak, Michael; Erdem, Cagri & Glette, Kyrre (2022). What Makes Interactive Art Engaging? Frontiers in Computer Science. ISSN 2624-9898. 4. doi: 10.3389/fcomp.2022.859496.
  • Fuhrer, Julian; Blenkmann, Alejandro Omar; Endestad, Tor; Solbakk, Anne-Kristin & Glette, Kyrre (2022). Complexity-based Encoded Information Quantification in Neurophysiological Recordings. Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). ISSN 2694-0604. p. 2319–2323. doi: 10.1109/EMBC48229.2022.9871501.
  • Norstein, Emma Stensby; Ellefsen, Kai Olav & Glette, Kyrre (2022). Open-Ended Search for Environments and Adapted Agents Using MAP-Elites, Applications of Evolutionary Computation. EvoApplications 2022.. Springer. ISSN 978-3-031-02461-0. p. 651–666. doi: 10.1007/978-3-031-02462-7_41.
  • Potel, Pierre; Veenstra, Frank & Glette, Kyrre (2021). SoloJam Island : a platform for rhythmic experimentation in spatially segmented multi-agent systems. In Kantan, Prithvi Ravi; Paisa, Razvan & Willemsen, Silvin (Ed.), Proceedings of the 2nd Nordic Sound and Music Computing (NordicSMC) Conference. Aalborg Universitetsforlag. doi: 10.5281/zenodo.5717860. Full text in Research Archive
  • Nordmoen, Jørgen; Nygaard, Tønnes Frostad; Samuelsen, Eivind & Glette, Kyrre (2021). On Restricting Real-Valued Genotypes in Evolutionary Algorithms. In Castillo, Pedro A. & Jiménez Laredo, Juan Luiz (Ed.), Applications of Evolutionary Computation. Springer. ISSN 978-3-030-72699-7. p. 3–16. doi: 10.1007/978-3-030-72699-7_1. Full text in Research Archive
  • Barnes, Chloe M; Ekárt, Anikó; Ellefsen, Kai Olav; Glette, Kyrre; Lewis, Peter R. & Tørresen, Jim (2021). Evolving Neuromodulated Controllers in Variable Environments, 2021 IEEE International Conference on Autonomic Computing and Self-Organizing Systems . IEEE (Institute of Electrical and Electronics Engineers). ISSN 978-1-6654-1261-2. p. 164–169. doi: 10.1109/ACSOS52086.2021.00037. Full text in Research Archive
  • Norstein, Emma Stensby; 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:/doi.org/10.1007/978-3-030-72699-7_3. Full text in Research Archive
  • 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. Full text in Research Archive
  • 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. 4. doi: 10.1038/s42003-021-02400-x. Full text in Research Archive
  • 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 (Institute of Electrical and Electronics Engineers). 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 (Institute of Electrical and Electronics Engineers). ISSN 978-1-7281-7278-1. p. 129–138. doi: 10.1109/ACSOS49614.2020.00034.

View all works in Cristin

  • Søyseth, Vegard; Bergflødt, Adrian Anderson; Glette, Kyrre; Watanabe, Shin & van Otterdijk, Marieke (2024). Robot exhibition on "LATE" @ Technical museum.
  • Veenstra, Frank; Norstein, Emma Stensby & Glette, Kyrre (2023). Tutorial: Evolving Robot Bodies and Brains with Unity.
  • (2023). Evolutionary and adaptive robotics: from simulation to reality .
  • (2023). Bio-inspiration for robot design and adaptation .
  • (2023). Adaptive robots through evolutionary algorithms and machine learning.
  • Fuhrer, Julian; Glette, Kyrre; Ivanovic, Jugoslav; Larsson, Pål Gunnar; Bekinschtein, Tristan & Kochen, Silvia [Show all 10 contributors for this article] (2022). Direct brain recordings reveal continuous encoding of structure in random stimuli.
  • Fuhrer, Julian; Blenkmann, Alejandro Omar; Endestad, Tor; Solbakk, Anne-Kristin & Glette, Kyrre (2022). Complexity-Based Encoded Information Quantification in Neurophysiological Recordings.
  • Szorkovszky, Alexander; Veenstra, Frank & Glette, Kyrre (2022). From real-time adaptation to social learning in robots.
  • Fuhrer, Julian; Glette, Kyrre; Ivanovic, Jugoslav; Larsson, Pål Gunnar; Bekinschtein, Tristan & Kochen, Silvia [Show all 10 contributors for this article] (2022). Direct brain recordings reveal continuous encoding of structure in random stimuli.
  • Howard, David; Glette, Kyrre & Cheney, Nick (2022). Editorial: Evolving Robotic Morphologies. Frontiers in Robotics and AI. ISSN 2296-9144. 9. doi: 10.3389/frobt.2022.874853.
  • Krzyzaniak, Michael Joseph; Gerry, Jennifer; Kwak, Dongho; Erdem, Cagri; Lan, Qichao & Glette, Kyrre (2021). Fibres Out of Line.
  • Nordmoen, Jørgen; Glette, Kyrre & Ellefsen, Kai Olav (2021). Enhancing MAP-Elites to overcome challenges in Evolutionary Robotics. University of Oslo. ISSN 1501-7710.
  • 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.

View all works in Cristin

Published Nov. 4, 2010 1:55 PM - Last modified Oct. 10, 2023 1:07 PM