4 citations · 9 across the 5 of their papers we have counts for
6 papers
Evaluating Fitness Averaging Strategies in Cooperative NeuroCoEvolution for Automated Soft Actuator Design
Hugo Alcaraz-Herrera, Michail-Antisthenis Tsompanas, Igor Balaz +1
Soft robotics are increasingly favoured in specific applications such as healthcare, due to their adaptability, which stems from the non-linear properties of their building materia…
NEAT and HyperNEAT based Design for Soft Actuator Controllers
Hugo Alcaraz-Herrera, Michail-Antisthenis Tsompanas, Igor Balaz +1
Since soft robotics are composed of compliant materials, they perform better than conventional rigid robotics in specific fields, such as medical applications. However, the field o…
Designing morphologies of soft medical devices using cooperative neuro coevolution
Hugo Alcaraz-Herrera, Michail-Antisthenis Tsompanas, Igor Balaz +1
Soft robots have proven to outperform traditional robots in applications related to propagation in geometrically constrained environments. Designing these robots and their controll…
Control of Biohybrid Actuators using NeuroEvolution
Hugo Alcaraz-Herrera, Michail-Antisthenis Tsompanas, Andrew Adamatzky +1
In medical-related tasks, soft robots can perform better than conventional robots because of their compliant building materials and the movements they are able perform. However, de…
NeuroEvolution algorithms applied in the designing process of biohybrid actuators
Hugo Alcaraz-Herrera, Michail-Antisthenis Tsompanas, Andrew Adamatzky +1
Soft robots diverge from traditional rigid robotics, offering unique advantages in adaptability, safety, and human-robot interaction. In some cases, soft robots can be powered by b…
Using neuroevolution for designing soft medical devices
Hugo Alcaraz-Herrera, Michail-Antisthenis Tsompanas, Andrew Adamatzky +1
Soft robots can exhibit better performance in specific tasks compared to conventional robots, particularly in healthcare-related tasks. However, the field of soft robotics is still…