Publications

(2021). Real-world embodied AI through a morphologically adaptive quadruped robot. In Nature: Machine Intelligence Journal.

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(2021). Environmental Adaptation of Robot Morphology and Control through Real-world Evolution. Evolutionary Computation Journal (MIT press).

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(2021). On Restricting Real-Valued Genotypes in Evolutionary Algorithms. To appear in EvoApplications2021 (Springer).

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(2021). Semi-Supervised Gated Recurrent Neural Networks for Robotic Terrain Classification. In Robotics and Automation Letters Journal (IEEE).

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(2020). Legging It: An Evolutionary Approach to Morphological Adaptation for a Real-World Quadruped Robot. PhD thesis at the University of Oslo.

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(2020). Real world morphological evolution is feasible. In GECCO20 workshop (ACM).

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(2020). Understanding musical predictions with an embodied interface for musical machine learning. In Frontiers in Artificial Intelligence journal.

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(2019). Experiences from Real-World Evolution with DyRET: Dynamic Robot for Embodied Testing. In NAIS19 (Springer CCIS).

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(2019). Evolved embodied phase coordination enables robust quadruped robot locomotion. In GECCO19 (ACM).

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(2019). Self-Modifying Morphology Experiments with DyRET: Dynamic Robot for Embodied Testing. In ICRA19 (IEEE).

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(2019). Evolving Robots on Easy Mode: Towards a Variable Complexity Controller for Quadrupeds. In EvoApplications19 (Springer).

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(2018). Real-World Evolution Adapts Robot Morphology and Control to Hardware Limitations. In GECCO18 (ACM).

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(2018). Exploring Mechanically Self-Reconfiguring Robots for Autonomous Design. In Workshop on Autonomous Robot Design at ICRA18.

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(2017). Overcoming Initial Convergence in Multi-objective Evolution of Robot Control and Morphology Using a Two-Phase Approach. In EvoApplications17 (Springer).

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(2016). Multi-objective Evolution of Fast and Stable Gaits on a Physical Quadruped Robotic Platform. In SSCI16 (IEEE).

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(2014). Evolutionary optimization of robot morphology and control - Using evolutionary algorithms in the design of a six legged robotic platform. Master thesis at the University of Oslo.

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