63 citations · 185 across the 37 of their papers we have counts for
5 papers · 1 filter
More complex environments may be required to discover benefits of lifetime learning in evolving robots
Ege de Bruin, Kyrre Glette, Kai Olav Ellefsen
It is well known that intra-life learning, defined as an additional controller optimization loop, is beneficial for evolving robot morphologies for locomotion. In this work, we inv…
Behaviour diversity in a walking and climbing centipede-like virtual creature
Emma Stensby Norstein, Kotaro Yasui, Takeshi Kano +2
Robot controllers are often optimised for a single robot in a single environment. This approach proves brittle, as such a controller will often fail to produce sensible behavior fo…
An Empirical Study on the Computation Budget of Co-Optimization of Robot Design and Control in Simulation
Etor Arza, Frank Veenstra, Tønnes F. Nygaard +1
The design (shape) of a robot is usually decided before the control is implemented. This might limit how well the design is adapted to a task, as the suitability of the design is g…
Design and Fabrication of Soft Locomotion Robots based on Spatial Compliant Mechanisms
Andrija Milojevic, Kyrre Glette
Soft robotics has emerged as a promising technology that holds great potential for various application areas. This is due to soft materials unique properties, including flexibility…
LVNS-RAVE: Diversified audio generation with RAVE and Latent Vector Novelty Search
Jinyue Guo, Anna-Maria Christodoulou, Balint Laczko +1
Evolutionary Algorithms and Generative Deep Learning have been two of the most powerful tools for sound generation tasks. However, they have limitations: Evolutionary Algorithms re…