2 citations · 3 across the 4 of their papers we have counts for
5 papers
Machine Learning Driven Prediction of the Behavior of Biohybrid Actuators
Michail-Antisthenis Tsompanas, Marco Perez Hernandez, Faisal Abdul-Fattah +9
Skeletal muscle-based biohybrid actuators have proved to be a promising component in soft robotics, offering efficient movement. However, their intrinsic biological variability and…
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…