1 code implementation • 27 Jun 2022 • Mia-Katrin Kvalsund, Kyrre Glette, Frank Veenstra
Overall, if these findings translate to other robot systems, our results and issues encountered can help future researchers make a choice of control method when co-optimizing morphology and control.
1 code implementation • 3 Jun 2022 • Alex Szorkovszky, Frank Veenstra, Kyrre Glette
Four CPGs, maximizing different weighted averages of the fitness functions, are then selected from the Pareto front and each is used as a basis for optimizing a filter network.
no code implementations • 5 Aug 2020 • Jørgen Nordmoen, Frank Veenstra, Kai Olav Ellefsen, Kyrre Glette
In this paper we compare a single objective Evolutionary Algorithm with two diversity promoting search algorithms; a Multi-Objective Evolutionary Algorithm and MAP-Elites a Quality Diversity algorithm, for the difficult problem of evolving control and morphology in modular robotics.