63 citations · 185 across the 37 of their papers we have counts for
6 papers · 1 filter
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…
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…
Environmental Adaptation of Robot Morphology and Control through Real-world Evolution
Tønnes F. Nygaard, Charles P. Martin, David Howard +2
Robots operating in the real world will experience a range of different environments and tasks. It is essential for the robot to have the ability to adapt to its surroundings to wo…