Tønnes F. Nygaard
Tønnes F. Nygaard
Oslo Metropolitan University and University of Oslo
Verifisert e-postadresse på ifi.uio.no - Startside
Sitert av
Sitert av
Real-world evolution adapts robot morphology and control to hardware limitations
TF Nygaard, CP Martin, E Samuelsen, J Torresen, K Glette
Proceedings of the Genetic and Evolutionary Computation Conference (GECCO18), 2018
Multi-objective Evolution of Fast and Stable Gaits on a Physical Quadruped Robotic Platform
TF Nygaard, J Torresen, K Glette
IEEE Symposium Series on Computational Intelligence (SSCI16), 2016
Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing
TF Nygaard, CP Martin, J Torresen, K Glette
International Conference on Robotics and Automation (ICRA19), 2019
Real-world embodied AI through a morphologically adaptive quadruped robot
TF Nygaard, CP Martin, J Torresen, K Glette, D Howard
Nature Machine Intelligence, 1-10, 2021
Overcoming Initial Convergence in Multi-objective Evolution of Robot Control and Morphology Using a Two-Phase Approach
TF Nygaard, E Samuelsen, K Glette
European Conference on the Applications of Evolutionary Computation, 825-836, 2017
Evolved embodied phase coordination enables robust quadruped robot locomotion
J Nordmoen, TF Nygaard, KO Ellefsen, K Glette
Proceedings of the Genetic and Evolutionary Computation Conference, 133-141, 2019
Exploring Mechanically Self-Reconfiguring Robots for Autonomous Design
TF Nygaard, CP Martin, J Torresen, K Glette
ICRA Workshop on Autonomous Robot Design (ARD18), 2018
Environmental Adaptation of Robot Morphology and Control through Real-world Evolution
TF Nygaard, CP Martin, D Howard, J Torresen, K Glette
Evolutionary Computation, 2021
Experiences from Real-World Evolution with DyRET: Dynamic Robot for Embodied Testing
TF Nygaard, J Nordmoen, KO Ellefsen, CP Martin, J Tørresen, K Glette
Symposium of the Norwegian AI Society, 58-68, 2019
Evolving Robots on Easy Mode: Towards a Variable Complexity Controller for Quadrupeds
TF Nygaard, CP Martin, J Torresen, K Glette
EvoApplications 2019, 2019
Understanding musical predictions with an embodied interface for musical machine learning
CP Martin, K Glette, TF Nygaard, J Torresen
Frontiers in Artificial Intelligence 3, 6, 2020
On restricting real-valued genotypes in evolutionary algorithms
J Nordmoen, TF Nygaard, E Samuelsen, K Glette
International Conference on the Applications of Evolutionary Computation …, 2021
Semi-supervised Gated Recurrent Neural Networks for Robotic Terrain Classification
A Ahmadi, T Nygaard, N Kottege, D Howard, N Hudson
IEEE Robotics and Automation Letters 6 (2), 1848-1855, 2021
Flexible Teaching of Reconfigurable Logic Design Including a Remote Cloud Lab
J Torresen, A Wold, Y Hafting, T Nygaard, R Skogstrøm, J Norendal
Real World Morphological Evolution is Feasible
TF Nygaard, D Howard, K Glette
GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation …, 2020
Ankle Joints Are Beneficial When Optimizing Supported Real-world Bipedal Robot Gaits
H Elverhøy, S Bøe, V Søyseth, T Nygaard
arXiv preprint arXiv:2105.10764, 2021
Evolutionary optimization of robot morphology and control - Using evolutionary algorithms in the design of a six legged robotic platform
TF Nygaard
Master Thesis, University of Oslo, 2014
LandX20 Experiment Report – experiment for future land warfare capabilities with focus on increased situational awareness and unmanned systems
K Mathiassen, M Baksaas, D Idar, BG Eikanger, F Gulbrandsen, ...
978-82-464-3390-5, 2022
Generative Truss Optimization for Support-Free Fused Filament Fabrication
HS Forberg, TF Nygaard, ME Høvin
2020 International Conference on Computational Science and Computational …, 2020
Legging It: An Evolutionary Approach to Morphological Adaptation for a Real-World Quadruped Robot
TF Nygaard
University of Oslo, 2020
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