Tønnes F. Nygaard
Tønnes F. Nygaard
PhD candidate in Robotics, University of Oslo
Verified email at ifi.uio.no - Homepage
Title
Cited by
Cited by
Year
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
192018
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
152016
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
102017
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
82019
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
72019
Exploring Mechanically Self-Reconfiguring Robots for Autonomous Design
TF Nygaard, CP Martin, J Torresen, K Glette
ICRA Workshop on Autonomous Robot Design (ARD18), 2018
62018
Evolving Robots on Easy Mode: Towards a Variable Complexity Controller for Quadrupeds
TF Nygaard, CP Martin, J Torresen, K Glette
EvoApplications 2019, 2019
52019
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
22019
On Restricting Real-Valued Genotypes in Evolutionary Algorithms
J Nordmoen, TF Nygaard, E Samuelsen, K Glette
arXiv preprint arXiv:2005.09380, 2020
12020
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
12020
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
12014
Real World Morphological Evolution is Feasible
TF Nygaard, D Howard, K Glette
GECCO '20: Proceedings of the 2020 Genetic and Evolutionary Computation …, 2020
2020
Environmental Adaptation of Robot Morphology and Control through Real-world Evolution
TF Nygaard, CP Martin, D Howard, J Torresen, K Glette
arXiv preprint arXiv:2003.13254, 2020
2020
Lessons Learned from Real-World Experiments with DyRET: the Dynamic Robot for Embodied Testing
TF Nygaard, J Nordmoen, CP Martin, K Glette
ICRA workshop on Learning Legged Locomotion, 2019
2019
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