Multi-objective evolution of fast and stable gaits on a physical quadruped robotic platform. - Tønnes F. Nygaard; Jim Tørresen; Kyrre Glette (SSCI, 2016)

Overcoming Initial Convergence in Multi-objective Evolution of Robot Control and Morphology Using a Two-Phase Approach. - Tønnes F. Nygaard; Eivind Samuelsen; Kyrre Glette (EvoApplications (1), 2017)

Real-world evolution adapts robot morphology and control to hardware limitations. - Tønnes F. Nygaard; Charles P. Martin; Eivind Samuelsen; Jim Tørresen; Kyrre Glette (GECCO, 2018)

Exploring Mechanically Self-Reconfiguring Robots for Autonomous Design. - Tønnes F. Nygaard; Charles P. Martin; Jim Tørresen; Kyrre Glette (CoRR, 2018)

Evolving Robots on Easy Mode: Towards a Variable Complexity Controller for Quadrupeds. - Tønnes F. Nygaard; Charles P. Martin; Jim Tørresen; Kyrre Glette (EvoApplications, 2019)

Evolved embodied phase coordination enables robust quadruped robot locomotion. - Jørgen Nordmoen; Tønnes F. Nygaard; Kai Olav Ellefsen; Kyrre Glette (GECCO, 2019)

Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing. - Tønnes F. Nygaard; Charles P. Martin; Jim Tørresen; Kyrre Glette (ICRA, 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 (NAIS, 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)

Real world morphological evolution is feasible. - Tønnes F. Nygaard; David Howard 001; Kyrre Glette (GECCO Companion, 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)

On Restricting Real-Valued Genotypes in Evolutionary Algorithms. - Jørgen Nordmoen; Tønnes F. Nygaard; Eivind Samuelsen; Kyrre Glette (EvoApplications, 2021)

Environmental Adaptation of Robot Morphology and Control Through Real-World Evolution. - Tønnes F. Nygaard; Charles P. Martin; David Howard 001; Jim Tørresen; Kyrre Glette (Evol. Comput., 2021)

Real-world embodied AI through a morphologically adaptive quadruped robot. - Tønnes F. Nygaard; Charles P. Martin; Jim Tørresen; Kyrre Glette; David Howard 001 (Nat. Mach. Intell., 2021)

Semi-Supervised Gated Recurrent Neural Networks for Robotic Terrain Classification. - Ahmadreza Ahmadi; Tønnes F. Nygaard; Navinda Kottege; David Howard 001; Nicolas Hudson (IEEE Robotics Autom. Lett., 2021)

Evolution of linkages for prototyping of linkage based robots. - Emma Stensby Norstein; Kai Olav Ellefsen; Frank Veenstra; Tønnes F. Nygaard; Kyrre Glette (SSCI, 2022)

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., 2023)

Co-Optimization of Robot Design and Control: Enhancing Performance and Understanding Design Complexity. - Etor Arza; Frank Veenstra; Tønnes F. Nygaard; Kyrre Glette (CoRR, 2024)

Interoperability for Semi-Autonomous Unmanned Ground Vehicles. - Tønnes F. Nygaard; Alexander Tiderko; Frank E. Schneider; Paul Bounker; Jakub Glówka; Niels Hygum Nielsen; Michal Bryla; Kim Mathiassen (ICMCIS, 2025)