60 citations · 104 across the 7 of their papers we have counts for
10 papers
Co-optimising Robot Morphology and Controller in a Simulated Open-Ended Environment
Emma Hjellbrekke Stensby, Kai Olav Ellefsen, Kyrre Glette
Designing robots by hand can be costly and time consuming, especially if the robots have to be created with novel materials, or be robust to internal or external changes. In order…
A Model of WiFi Performance With Bounded Latency
Bjørn Ivar Teigen, Neil Davies, Kai Olav Ellefsen +2
In September 2020, the Broadband Forum published a new industry standard for measuring network quality. The standard centers on the notion of quality attenuation. Quality attenuati…
MAP-Elites enables Powerful Stepping Stones and Diversity for Modular Robotics
Jørgen Nordmoen, Frank Veenstra, Kai Olav Ellefsen +1
In modular robotics, modules can be reconfigured to change the morphology of the robot, making it able to adapt for specific tasks. However, optimizing both the body and control is…
Quality and Diversity in Evolutionary Modular Robotics
Jørgen Nordmoen, Frank Veenstra, Kai Olav Ellefsen +1
In Evolutionary Robotics a population of solutions is evolved to optimize robots that solve a given task. However, in traditional Evolutionary Algorithms, the population of solutio…
Self-Adapting Goals Allow Transfer of Predictive Models to New Tasks
Kai Olav Ellefsen, Jim Torresen
A long-standing challenge in Reinforcement Learning is enabling agents to learn a model of their environment which can be transferred to solve other problems in a world with the sa…
Evolved embodied phase coordination enables robust quadruped robot locomotion
Jørgen Nordmoen, Tønnes F. Nygaard, Kai Olav Ellefsen +1
Overcoming robotics challenges in the real world requires resilient control systems capable of handling a multitude of environments and unforeseen events. Evolutionary optimization…