Tønnes F. Nygaard

According to our database, Tønnes F. Nygaard authored at least 18 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Co-Optimization of Robot Design and Control: Enhancing Performance and Understanding Design Complexity.

Etor Arza, Frank Veenstra, Tønnes F. Nygaard, Kyrre Glette

CoRR, 2024

2023

Reward tampering and evolutionary computation: a study of concrete AI-safety problems using evolutionary algorithms.

Mathias K. Nilsen, Tønnes F. Nygaard, Kai Olav Ellefsen

Genet. Program. Evolvable Mach., December, 2023

2022

Evolution of linkages for prototyping of linkage based robots.

Emma Stensby Norstein, Kai Olav Ellefsen, Frank Veenstra, Tønnes F. Nygaard, Kyrre Glette

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

2021

Semi-Supervised Gated Recurrent Neural Networks for Robotic Terrain Classification.

Ahmadreza Ahmadi, Tønnes F. Nygaard, Navinda Kottege, David Howard, Nicolas Hudson

IEEE Robotics Autom. Lett., 2021

Real-world embodied AI through a morphologically adaptive quadruped robot.

Tønnes F. Nygaard, Charles P. Martin, Jim Tørresen, Kyrre Glette, David Howard

Nat. Mach. Intell., 2021

Environmental Adaptation of Robot Morphology and Control Through Real-World Evolution.

Tønnes F. Nygaard, Charles P. Martin, David Howard, Jim Tørresen, Kyrre Glette

Evol. Comput., 2021

On Restricting Real-Valued Genotypes in Evolutionary Algorithms.

Jørgen Nordmoen, Tønnes F. Nygaard, Eivind Samuelsen, Kyrre Glette

Proceedings of the Applications of Evolutionary Computation, 2021

2020

Understanding Musical Predictions With an Embodied Interface for Musical Machine Learning.

Charles Patrick Martin, Kyrre Glette, Tønnes F. Nygaard, Jim Tørresen

Frontiers Artif. Intell., 2020

Real world morphological evolution is feasible.

Tønnes F. Nygaard, David Howard, Kyrre Glette

Proceedings of the GECCO '20: Genetic and Evolutionary Computation Conference, 2020

2019

Lessons Learned from Real-World Experiments with DyRET: the Dynamic Robot for Embodied Testing.

Tønnes F. Nygaard, Jørgen Nordmoen, Charles P. Martin, Kyrre Glette

CoRR, 2019

Experiences from Real-World Evolution with DyRET: Dynamic Robot for Embodied Testing.

Tønnes F. Nygaard, Jørgen Nordmoen, Kai Olav Ellefsen, Charles P. Martin, Jim Tørresen, Kyrre Glette

Proceedings of the Nordic Artificial Intelligence Research and Development, 2019

Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing.

Tønnes F. Nygaard, Charles P. Martin, Jim Tørresen, Kyrre Glette

Proceedings of the International Conference on Robotics and Automation, 2019

Evolved embodied phase coordination enables robust quadruped robot locomotion.

Jørgen Nordmoen, Tønnes F. Nygaard, Kai Olav Ellefsen, Kyrre Glette

Proceedings of the Genetic and Evolutionary Computation Conference, 2019

Evolving Robots on Easy Mode: Towards a Variable Complexity Controller for Quadrupeds.

Tønnes F. Nygaard, Charles P. Martin, Jim Tørresen, Kyrre Glette

Proceedings of the Applications of Evolutionary Computation, 2019

2018

Exploring Mechanically Self-Reconfiguring Robots for Autonomous Design.

Tønnes F. Nygaard, Charles P. Martin, Jim Tørresen, Kyrre Glette

CoRR, 2018

Real-world evolution adapts robot morphology and control to hardware limitations.

Tønnes F. Nygaard, Charles P. Martin, Eivind Samuelsen, Jim Tørresen, Kyrre Glette

Proceedings of the Genetic and Evolutionary Computation Conference, 2018

2017

Overcoming Initial Convergence in Multi-objective Evolution of Robot Control and Morphology Using a Two-Phase Approach.

Tønnes F. Nygaard, Eivind Samuelsen, Kyrre Glette

Proceedings of the Applications of Evolutionary Computation - 20th European Conference, 2017

2016

Multi-objective evolution of fast and stable gaits on a physical quadruped robotic platform.

Tønnes F. Nygaard, Jim Tørresen, Kyrre Glette

Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016