9 citations · 9 across the 4 of their papers we have counts for
8 papers
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…
A Framework for Automatic Behavior Generation in Multi-Function Swarms
Sondre A. Engebraaten, Jonas Moen, Oleg A. Yakimenko +1
Multi-function swarms are swarms that solve multiple tasks at once. For example, a quadcopter swarm could be tasked with exploring an area of interest while simultaneously function…
On Restricting Real-Valued Genotypes in Evolutionary Algorithms
Jørgen Nordmoen, Tønnes Frostad Nygaard, Eivind Samuelsen +1
Real-valued genotypes together with the variation operators, mutation and crossover, constitute some of the fundamental building blocks of Evolutionary Algorithms. Real-valued geno…
Real World Morphological Evolution is Feasible
Tonnes F. Nygaard, David Howard, Kyrre Glette
Evolutionary algorithms offer great promise for the automatic design of robot bodies, tailoring them to specific environments or tasks. Most research is done on simplified models o…
Lessons Learned from Real-World Experiments with DyRET: the Dynamic Robot for Embodied Testing
Tønnes F. Nygaard, Jørgen Nordmoen, Charles P. Martin +1
Robots are used in more and more complex environments, and are expected to be able to adapt to changes and unknown situations. The easiest and quickest way to adapt is to change th…
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…