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Showing results 1-50 of 227 << Previous 1 2 3 4 5    Next >>

2021
1 Côté-Allard, Ulysse; Gagnon-Turcotte, Gabriel; Phinyomark, Angkoon; Glette, Kyrre Harald; Scheme, Erik; Laviolette, François; Gosselin, Benoit.
A Transferable Adaptive Domain Adversarial Neural Network for Virtual Reality Augmented EMG-Based Gesture Recognition.. IEEE transactions on neural systems and rehabilitation engineering 2021
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2 Nordmoen, Jørgen Halvorsen; Veenstra, Frank; Ellefsen, Kai Olav; Glette, Kyrre.
MAP-Elites Enables Powerful Stepping Stones and Diversity for Modular Robotics. Frontiers in Robotics and AI 2021 ;Volume 8.
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3 Nygaard, Tønnes; Martin, Charles Patrick; Howard, David; Tørresen, Jim; Glette, Kyrre.
Environmental Adaptation of Robot Morphology and Control Through Real-world Evolution. Evolutionary Computation 2021
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4 Nygaard, Tønnes; Martin, Charles Patrick; Tørresen, Jim; Glette, Kyrre; Howard, David.
Real-world embodied AI through a morphologically adaptive quadruped robot. Nature Machine Intelligence 2021 p. -
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2020
5 Barnes, Chloe M; Ekárt, Anikó; Ellefsen, Kai Olav; Glette, Kyrre; Lewis, Peter R.; Tørresen, Jim.
Coevolutionary Learning of Neuromodulated Controllers for Multi-Stage and Gamified Tasks. I: 2020 IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS). IEEE 2020 ISBN 978-1-7281-7278-1. p. 129-138
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6 Côté-Allard, Ulysse; Gagnon-Turcotte, Gabriel; Phinyomark, Angkoon; Glette, Kyrre; Scheme, Erik; Laviolette, Francois; Gosselin, Benoit.
Unsupervised Domain Adversarial Self-Calibration for Electromyography-Based Gesture Recognition. IEEE Access 2020 ;Volume 8. p. 177941-177955
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7 Engebråten, Sondre Andreas; Moen, Hans Jonas Fossum; Yakimenko, Oleg A.; Glette, Kyrre.
A framework for automatic behavior generation in multi-function swarms. Frontiers in Robotics and AI 2020 ;Volume 7:579403. p. 1-19
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8 Erdem, Cagri; Jensenius, Alexander Refsum; Glette, Kyrre; Krzyzaniak, Michael Joseph; Veenstra, Frank.
Air-Guitar Control of Interactive Rhythmic Robots. Proceedings of the International Conference on Live Interfaces (Proceedings of ICLI) 2020 p. 208-210
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9 Glette, Kyrre.
Evolutionary algorithms for intelligent robots. Impact Breakfast; 2020-01-29
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10 Jensenius, Alexander Refsum; Erdem, Cagri; Kwak, Dongho Daniel; Rahman, Habibur; Glette, Kyrre; Krzyzaniak, Michael Joseph; Lan, Qichao; Fasciani, Stefano.
Strings On-Line. [Artistic or museum-related presentation] International Conference on New Interfaces for Musical Expression. Royal Birmingham Conservatorie; . 2020-07-21 - 2020-07-24
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11 Krzyzaniak, Michael Joseph; Kwak, Dongho Daniel; Veenstra, Frank; Erdem, Cagri; Wallace, Benedikte; Jensenius, Alexander Refsum; Glette, Kyrre.
Dr. Squiggles rhythmical robots. [Artistic or museum-related presentation] Oslo Life Science Conference Life science light event. UIO Life Sciece; Museum of science and technology, Oslo. 2020-02-13
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12 Krzyzaniak, Michael Joseph; Veenstra, Frank; Erdem, Cagri; Glette, Kyrre; Jensenius, Alexander Refsum.
Interactive Rhythmic Robots. [Artistic or museum-related presentation] ICLI. NTNU; Trondheim. 2020-10-03 - 2020-10-03
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13 Lee, Wonho.
A Neuroevolutionary Approach to Evolve a Flexible Neural Controller for a Morphology Changing Quadruped Robot. Universitetet i Oslo 2020 72 p.
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14 Martin, Charles Patrick; Glette, Kyrre; Nygaard, Tønnes; Tørresen, Jim.
Understanding Musical Predictions With an Embodied Interface for Musical Machine Learning. Frontiers in Artificial Intelligence 2020 ;Volume 3.(6)
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15 Milojevic, Andrija; Glette, Kyrre.
Design Optimization of Terrestrial-Walking Soft Robots. I: Proceedings of The Fifth International Conference – MASING 2020. Nis: Faculty of Mechanical Engineering in Niš 2020 ISBN 978-86-6055-139-1. p. 225-228
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16 Nordmoen, Jørgen Halvorsen; Veenstra, Frank; Ellefsen, Kai Olav; Glette, Kyrre.
Quality and Diversity in Evolutionary Modular Robotics. I: 2020 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE 2020 ISBN 978-1-7281-2547-3. p. 2109-2116
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17 Nygaard, Tønnes.
Legging It: An Evolutionary Approach to Morphological Adaptation for a Real-World Quadruped Robot. : Universitetet i Oslo 2020 138 p. Series of dissertations submitted to the Faculty of Mathematics and Natural Sciences, University of Oslo.(2308)
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18 Nygaard, Tønnes; Howard, David; Glette, Kyrre.
Real world morphological evolution is feasible. I: GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery (ACM) 2020 ISBN 978-1-4503-7127-8. p. 1392-1394
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19 Stensby, Emma Hjellbrekke.
Co-evolving morphology and controller in an open-ended environment. Universitetet i Oslo 2020 61 p.
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20 Veenstra, Frank; Glette, Kyrre.
How Different Encodings Affect Performance and Diversification when Evolving the Morphology and Control of 2D Virtual Creatures. I: The 2020 Conference on Artificial Life. MIT Press 2020 p. 592-601
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2019
21 Ahmadi, Arash; Rosnes, Ida; Blicher, Pernille; Diekmann, Robin; Schuttpelz, Mark; Glette, Kyrre; Tørresen, Jim; Bjørås, Magnar; Dalhus, Bjørn; Rowe, Alexander D..
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 2019 ;Volume 10.(1)
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22 Ahmadi, Arash; Till, Katharina; Hafting, Yngve; Schuttpelz, Mark; Bjørås, Magnar; Glette, Kyrre; Tørresen, Jim; Rowe, Alexander D.; Dalhus, Bjørn.
Additive manufacturing of laminar flow cells for single-molecule experiments. Scientific Reports 2019 ;Volume 9.(1) p. -
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23 Côté-Allard, Ulysse; Latyr Fall, Cheikh; Drouin, Alexandre; Campeau-Lecours, Alexandre; Gosselin, Clément; Glette, Kyrre Harald; Laviolette, François; Gosselin, Benoit.
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning. IEEE transactions on neural systems and rehabilitation engineering 2019
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24 Côté-Allard, Ulysse; Latyr Fall, Cheikh; Drouin, Alexandre; Campeau-Lecours, Alexandre; Gosselin, Clément; Glette, Kyrre; Laviolette, Francois; Gosselin, Benoit.
Deep Learning for Electromyographic Hand Gesture Signal Classification Using Transfer Learning. IEEE transactions on neural systems and rehabilitation engineering 2019 ;Volume 27.(4) p. 760-771
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25 Glette, Kyrre.
Kunstig intelligens for tilpasningsdyktige roboter. Fra data til innsikt - innovasjonskonferanse 2019; 2019-01-10
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26 Glette, Kyrre.
Kunstig intelligens for tilpasningsdyktige roboter. Åpen dag; 2019-03-07
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27 Glette, Kyrre; Nygaard, Tønnes Frostad; Vogt, Yngve.
Her er universitetets nest selvlærende robot. Teknisk ukeblad [Business/trade/industry journal] 2019-11-19
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28 Jelisavcic, Milan; Glette, Kyrre; Haasdijk, Evert; Eiben, AE.
Lamarckian Evolution of Simulated Modular Robots. Frontiers in Robotics and AI 2019 ;Volume 6.(9) p. -
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29 Jensenius, Alexander Refsum; Martin, Charles Patrick; Erdem, Cagri; Lan, Qichao; Fuhrer, Julian Peter; Gonzalez Sanchez, Victor Evaristo; Zelechowska, Agata; Glette, Kyrre; Nymoen, Kristian.
Self-playing Guitars. [Artistic or museum-related presentation] Life science light event in the Botanical Garden. ; . 2019-02-14 - 2019-02-14
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30 Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob; Tørresen, Jim.
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 2019; 2019-05-20 - 2019-05-24
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31 Miseikis, Justinas; Brijacak, Inka; Yahyanejad, Saeed; Glette, Kyrre; Elle, Ole Jacob; Tørresen, Jim.
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) 2019 ;Volume 2019-May. p. 8883-8889
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32 Nordmoen, Jørgen Halvorsen; Nygaard, Tønnes Frostad; Ellefsen, Kai Olav; Glette, Kyrre.
Evolved embodied phase coordination enables robust quadruped robot locomotion. I: GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference. Association for Computing Machinery (ACM) 2019 ISBN 978-1-4503-6111-8. p. 133-141
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33 Nordmoen, Jørgen Halvorsen; Nygaard, Tønnes Frostad; Ellefsen, Kai Olav; Glette, Kyrre.
Evolved embodied phase coordination enables robust quadruped robot locomotion. The Genetic and Evolutionary Computation Conference (GECCO) 2019; 2019-07-13 - 2019-07-17
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34 Nygaard, Tønnes Frostad; Glette, Kyrre.
Her er universitetets mest avanserte, selvlærende robot. Apollon [Business/trade/industry journal] 2019-10-28
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35 Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim; Glette, Kyrre.
Evolving Robots on Easy Mode: Towards a Variable Complexity Controller for Quadrupeds. Lecture Notes in Computer Science (LNCS) 2019 ;Volume 11454 LNCS. p. 616-632
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36 Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim; Glette, Kyrre.
Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing. IEEE International Conference on Robotics and Automation (ICRA) 2019 ;Volume 2019-May. p. 9446-9452
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37 Nygaard, Tønnes Frostad; Martin, Charles Patrick; Tørresen, Jim; Glette, Kyrre.
Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing. 2019 International Conference on Robotics and Automation (ICRA); 2019-05-20 - 2019-05-24
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38 Nygaard, Tønnes Frostad; Nordmoen, Jørgen Halvorsen; Ellefsen, Kai Olav; Martin, Charles Patrick; Tørresen, Jim; Glette, Kyrre.
Experiences from Real-World Evolution with DyRET: Dynamic Robot for Embodied Testing. The 2019 Symposium of the Norwegian AI Society; 2019-05-27 - 2019-05-28
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39 Nygaard, Tønnes Frostad; Nordmoen, Jørgen Halvorsen; Ellefsen, Kai Olav; Martin, Charles Patrick; Tørresen, Jim; Glette, Kyrre.
Experiences from Real-World Evolution with DyRET: Dynamic Robot for Embodied Testing. I: Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019. Springer 2019 ISBN 978-3-030-35664-4. p. 58-68
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40 Nygaard, Tønnes Frostad; Nordmoen, Jørgen Halvorsen; Martin, Charles Patrick; Tørresen, Jim; Glette, Kyrre.
Lessons Learned from Real-World Experiments with DyRET: the Dynamic Robot for Embodied Testing. 2019 ICRA Workshop on Learning Legged Locomotion; 2019-05-24
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41 St-Onge, David; Côté-Allard, Ulysse; Glette, Kyrre Harald; Benoit, Gosselin; Beltrame, Giovanni.
Engaging with Robotic Swarms: Commands from Expressive Motion. ACM Transactions on Human-Robot Interaction 2019 ;Volume 8.(2)
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42 St-Onge, David; Côté-Allard, Ulysse; Glette, Kyrre Harald; Gosselin, Benoit; Beltrame, Giovanni.
Engaging with Robotic Swarms: Commands from Expressive Motion. ACM Transactions on Human-Robot Interaction 2019
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43 Tørresen, Jim; Glette, Kyrre; Ellefsen, Kai Olav.
Adaptive Robot Body and Control for Real-World Environments. JPL Robotics Section seminar; 2019-10-28 - 2019-10-28
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44 Tørresen, Jim; Glette, Kyrre; Ellefsen, Kai Olav.
Intelligent, Adaptive Robots in Real-World Scenarios. UBER AI Labs Seminar; 2019-10-25 - 2019-10-25
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2018
45 Ahmadi, Arash; Rosnes, Ida; Blicher, Pernille; Diekmann, Robin; Schüttpelz, Mark; Glette, Kyrre; Tørresen, Jim; Bjørås, Magnar; Dalhus, Bjørn; Rowe, Alexander D..
Breaking the speed limit with multimode fast scanning of DNA by Endonuclease V. Nature Communications 2018 ;Volume 9.(1) p. -
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46 Engebråten, Sondre Andreas; Glette, Kyrre; Yakimenko, Oleg.
Field-Testing of High-Level Decentralized Controllers for a Multi-Function Drone Swarm. IEEE International Conference on Control and Automation 2018 ;Volume 2018-June. p. 379-386
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47 Engebråten, Sondre Andreas; Glette, Kyrre; Yakimenko, Oleg.
Networking-enabling enhancement for a swarm of COTS Drones. IEEE International Conference on Control and Automation 2018 ;Volume 2018-June. p. 562-569
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48 Engebråten, Sondre Andreas; Moen, Hans Jonas Fossum; Yakimenko, Oleg; Glette, Kyrre.
Evolving a Repertoire of Controllers for a Multi-function Swarm. Lecture Notes in Computer Science (LNCS) 2018 ;Volume 10784. p. 734-749
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49 Engebråten, Sondre Andreas; Yakimenko, Oleg; Moen, Hans Jonas Fossum; Glette, Kyrre.
Evolving a Repertoire of Controllers for a Multi-Function Swarm. Autonomy day 2018; 2018-05-03
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50 Engebråten, Sondre Andreas; Yakimenko, Oleg; Moen, Hans Jonas Fossum; Glette, Kyrre.
Towards a Multi-Function Swarm That Adapts to User Preferences. I: Swarms: From Biology to Robotics and Back. ICRA 2018 Workshop. : Harvard University 2018
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