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2020
1 Ellefsen, Kai Olav; Nygaard, Tønnes Frostad; Kjørstad, Elise.
Her er den første roboten som er laget av levende celler. forskning.no [Internett] 2020-02-04
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2 Ellefsen, Kai Olav; Time, Jon Kåre.
Han lærer roboter hvordan verden fungerer. https://morgenbladet.no/aktuelt/2020/02/han-laerer-roboter-h [Avis] 2020-03-02
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2019
3 Ellefsen, Kai Olav.
Hva Kan Roboter Lære av Biologisk Liv?. BIO-konferansen 2019; 2019-11-08 - 2019-11-08
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4 Ellefsen, Kai Olav; Huizinga, Joost; Tørresen, Jim.
Guiding Neuroevolution with Structural Objectives. Evolutionary Computation 2019 ;Volum 28.(1) s. 115-140
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5 Ellefsen, Kai Olav; Huizinga, Joost; Tørresen, Jim.
Guiding Neuroevolution with Structural Objectives. The Genetic and Evolutionary Computation Conference (GECCO) 2019; 2019-07-13 - 2019-07-17
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6 Ellefsen, Kai Olav; Rohlfing, Katharina J..
Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. IEEE 2019 (ISBN 978-1-5386-8129-9) 340 s.
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7 Ellefsen, Kai Olav; Rolfing, Katharina J.; Dautenhahn, Kerstin; Tørresen, Jim.
Proc. of 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob). IEEE conference proceedings 2019 (ISBN 978-1-5386-3715-9) 340 s.
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8 Ellefsen, Kai Olav; Tørresen, Jim.
Evolutionary Robotics: Automatic design of robot bodies and control. Guest lecture in course CMP166 Evolutionary Dynamical Systems at Universidade Federal do Rio Grande do Sul (UFRGS); 2019-10-24
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9 Ellefsen, Kai Olav; Tørresen, Jim.
Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks. The 2019 Symposium of the Norwegian AI Society; 2019-05-27 - 2019-05-28
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10 Ellefsen, Kai Olav; Tørresen, Jim.
Self-adapting Goals Allow Transfer of Predictive Models to New Tasks. I: Nordic Artificial Intelligence Research and Development: Third Symposium of the Norwegian AI Society, NAIS 2019. Springer 2019 ISBN 978-3-030-35664-4. s. 28-39
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11 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. s. 133-141
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12 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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13 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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14 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. s. 58-68
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15 Teigen, Bjørn Ivar; Ellefsen, Kai Olav; Tørresen, Jim.
A Categorization of Reinforcement Learning Exploration Techniques Which Facilitates Combination of Different Methods. I: Proceedings of the 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics. IEEE 2019 ISBN 978-1-5386-8129-9. s. 189-194
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16 Teigen, Bjørn Ivar; Ellefsen, Kai Olav; Tørresen, Jim.
A Categorization of Reinforcement Learning Exploration Techniques Which Facilitates Combination of Different Methods.. The 9th Joint IEEE International Conference on Development and Learning and on Epigenetic Robotics; 2019-07-19 - 2019-07-22
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17 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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18 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
19 Ellefsen, Kai Olav.
Evolusjonær Robotikk: Automatisk design og kontroll av roboter. Elevkveld Ent3r; 2018-10-23 - 2018-10-23
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20 Ellefsen, Kai Olav; Tørresen, Jim.
Evolutionary Robotics: Automatic design of robot controllers and bodies. Guest lecture for students at URFGS, Rio Grande do Sul; 2018-10-24 - 2018-10-24
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21 Garcia Ceja, Enrique Alejandro; Ellefsen, Kai Olav; Martin, Charles Patrick; Tørresen, Jim.
Prediction, Interaction, and User Behaviour. IEEE World Congress on Computational Intelligence; 2018-07-08 - 2018-07-13
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22 Nordmoen, Jørgen Halvorsen; Ellefsen, Kai Olav; Glette, Kyrre.
Combining MAP-Elites and Incremental Evolution to Generate Gaits for a Mammalian Quadruped Robot. Lecture Notes in Computer Science (LNCS) 2018 ;Volum 10784 LNCS. s. 719-733
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23 Nordmoen, Jørgen Halvorsen; Samuelsen, Eivind; Ellefsen, Kai Olav; Glette, Kyrre.
Dynamic mutation in MAP-Elites for robotic repertoire generation. I: The 2018 Conference on Artificial Life. MIT Press 2018 ISBN 9780262355766. s. 598-605
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24 Søyseth, Vegard Dønnem; Nygaard, Tønnes Frostad; Martin, Charles Patrick; Uddin, Md Zia; Ellefsen, Kai Olav.
ROBIN-Stand ved Cutting Edge 2018. Cutting Edge 2018; 2018-09-25 - 2018-09-25
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25 Tørresen, Jim; Garcia Ceja, Enrique Alejandro; Ellefsen, Kai Olav; Martin, Charles Patrick.
Equipping Systems with Forecasting Capabilities. Guest lecture in graduate course "Mind and Machines" at UFRGS; 2018-07-12
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26 ; Teigen, Bjørn Ivar.
An Active Learning Perspective on Exploration in Reinforcement Learning. Oslo: Universitetet i Oslo 2018 85 s.
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2017
27 Ellefsen, Kai Olav.
Automating Robot Design with Evolutionary Algorithms. Guest lecture at UFRGS related to international exchange project; 2017-04-04 - 2017-04-04
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28 Ellefsen, Kai Olav.
Evolutionary Robotics: Automatic design of robot bodies and control. Guest lecture at Senai CIMATEC connected to international exchange project; 2017-04-06 - 2017-04-06
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29 Ellefsen, Kai Olav.
Internal Models for Adaptation and Prediction. First Oslo Workshop on Autonomous and Adaptive Systems; 2017-05-11 - 2017-05-11
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30 Ellefsen, Kai Olav; Lepikson, Herman; Albiez, Jan.
Multiobjective Coverage Path Planning: Enabling Automated Inspection of Complex, Real-World Structures. Applied Soft Computing 2017 (61) s. 264-282
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31 Ellefsen, Kai Olav; Tørresen, Jim.
Evolving neural networks with multiple internal models. I: Proceedings of the European Conference on Artificial Life 2017. MIT Press 2017 ISBN 978-0-262-34633-7. s. 138-145
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32 Ellefsen, Kai Olav; Tørresen, Jim.
Evolving neural networks with multiple internal models. The 14th European Conference on Artificial Life; 2017-09-04 - 2017-09-08
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33 Martin, Charles Patrick; Ellefsen, Kai Olav; Tørresen, Jim.
Deep Models for Ensemble Touch-Screen Improvisation. I: Proceedings of the 12th International Audio Mostly Conference: Augmented and Participatory Sound and Music Experiences. Association for Computing Machinery (ACM) 2017 ISBN 978-1-4503-5373-1. s. -
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34 Martin, Charles Patrick; Gonzalez Sanchez, Victor Evaristo; Kelkar, Tejaswinee; Zelechowska, Agata; Berggren, Stig Johan; Hopgood, Christina; Wallace, Benedikte; Brustad, Henrik; Utne-Reitan, Bjørnar; Ellefsen, Kai Olav; Nygaard, Tønnes Frostad; Søyseth, Vegard Dønnem; Câmara, Guilherme Schmidt; Diaz, Ximena Alarcón.
Ensemble Metatone - Improvised Touchscreen Performance.
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2016
35 Ellefsen, Kai Olav; Lepikson, Herman; Albiez, Jan.
Planning Inspection Paths through Evolutionary Multi-objective Optimization. I: GECCO '16: Proceedings of the Genetic and Evolutionary Computation Conference 2016. Association for Computing Machinery (ACM) 2016 ISBN 978-1-4503-4206-3. s. 893-900
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36 Tørresen, Jim; Glette, Kyrre; Ellefsen, Kai Olav; Toft, Martin.
UiO får åtte tildelingar for å samarbeida med oppinstitusjonar utanfor EU. http://www.uniforum.uio.no/nyheter/2016/11/uio-far-atte-tild [Internett] 2016-11-25
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2015
37 Ellefsen, Kai Olav; Mouret, Jean-Baptiste; Clune, Jeff.
Neural Modularity Helps Organisms Evolve to Learn New Skills without Forgetting Old Skills. PLoS Computational Biology 2015 ;Volum 11.(4) s. -
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2013
38 Ellefsen, Kai Olav.
Balancing the Costs and Benefits of Learning Ability. I: Advances in Artificial Life, ECAL 2013.Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems. MIT Press 2013 ISBN 9780262317092. s. 292-299
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39 Ellefsen, Kai Olav.
Different regulation mechanisms for evolved critical periods in learning. I: Proceedings of the IEEE Congress on Evolutionary Computation. IEEE Communications Society 2013 ISBN 978-1-4799-0452-5.
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40 Ellefsen, Kai Olav.
Evolved Sensitive Periods in Learning. I: Advances in Artificial Life, ECAL 2013.Proceedings of the Twelfth European Conference on the Synthesis and Simulation of Living Systems. MIT Press 2013 ISBN 9780262317092. s. 409-416
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2012
41 Kofod-Petersen, Anders; Ellefsen, Kai Olav.
Applied Artifical Intelligence - GEMINI centre for Applied Artificial Intelligence.
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2011
42 Ellefsen, Kai Olav.
Dynamic Robot Scheduling Using a Genetic Algorithm. IEEE Transactions on Evolutionary Computation 2011 s. 2025-2032
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2010
43 Ellefsen, Kai Olav.
A Genetic Algorithm for Flexible Robotic Planning. Second Norwegian Artificial Intelligence Symposium; 2010-11-22 - 2010-11-22
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44 Ellefsen, Kai Olav.
A Genetic Algorithm for Flexible Robotic Planning. I: Proceedings of the second Norwegian Artificial Intelligence Symposium : November 22, 2010 Høgskolen i Gjøvik. Tapir Akademisk Forlag 2010 ISBN 978-82-519-2704-8. s. 19-27
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