9 citations · 17 across the 11 of their papers we have counts for
13 papers
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…
Evolution of linkages for prototyping of linkage based robots
Emma Stensby Norstein, Kai Olav Ellefsen, Frank Veenstra +2
Prototyping robotic systems is a time consuming process. Computer aided design, however, might speed up the process significantly. Quality-diversity evolutionary approaches optimis…
Ankle Joints Are Beneficial When Optimizing Supported Real-world Bipedal Robot Gaits
Hilmar Elverhøy, Steinar Bøe, Vegard Søyseth +1
Legged robots promise higher versatility and the ability to traverse much more difficult terrains than their wheeled counterparts. Even though the use of legged robots have increas…
Semi-supervised Gated Recurrent Neural Networks for Robotic Terrain Classification
Ahmadreza Ahmadi, Tønnes Nygaard, Navinda Kottege +2
Legged robots are popular candidates for missions in challenging terrains due to the wide variety of locomotion strategies they can employ. Terrain classification is a key enabling…
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…