Outputs (18)

Optimizing the substrate for hypercube-based neuroevolution of augmented topologies to design soft actuators (2025)
Journal Article

The characteristics of soft robots make them better candidates for applications such as healthcare, due to their enhanced safety, adaptability and more natural human-robot interaction compared to traditional counterparts. Different actuating systems... Read More about Optimizing the substrate for hypercube-based neuroevolution of augmented topologies to design soft actuators.

Designing morphologies of soft medical devices using cooperative neuro coevolution (2025)
Presentation / Conference Contribution

Soft robots have proven to outperform traditional robots in applications related to propagation in geometrically constrained environments. Designing these robots and their controllers is an intricate task, since their building materials exhibit non-l... Read More about Designing morphologies of soft medical devices using cooperative neuro coevolution.

Leveraging activation and optimisation layers as dynamic strategies in the multi-task fuzzing scheme (2025)
Journal Article

Fuzzing is a common technique for identifying vulnerabilities in software. Recent approaches, like She et al.’s Multi-Task Fuzzing (MTFuzz), use neural networks to improve fuzzing efficiency. However, key elements like network architecture and hyperp... Read More about Leveraging activation and optimisation layers as dynamic strategies in the multi-task fuzzing scheme.

Using neuroevolution for designing soft medical devices (2024)
Journal Article

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 young, and designing them often involves mimicking natural organisms... Read More about Using neuroevolution for designing soft medical devices.

Control of biohybrid actuators using neuroevolution (2024)
Presentation / Conference Contribution

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, designing soft robot controllers is not an easy task, due to the non-lin... Read More about Control of biohybrid actuators using neuroevolution.

Improving search space analysis of fuzzing mutators using cryptographic structures (2024)
Presentation / Conference Contribution

This paper introduces a novel approach to enhance the performance of software fuzzing mutator tools, by leveraging cryptographic structures known as substitution-permutation networks and Feistel networks. By integrating these structures into the exis... Read More about Improving search space analysis of fuzzing mutators using cryptographic structures.

A reaction-diffusion cellular automata model for mycelium-based engineered living materials evolution (2024)
Presentation / Conference Contribution

Engineered living materials (ELMs) and, more specifically, mycelium-based ELMs have been proposed as a solution to address the escalating societal pressures related to human-induced environmental disruption, scarcity of resources, and the anticipated... Read More about A reaction-diffusion cellular automata model for mycelium-based engineered living materials evolution.

Mycelium-based ELM digital twin implemented in FPGA (2024)
Presentation / Conference Contribution

Engineered Living Materials (ELMs) based on fungal mycelium offer a promising solution to the challenges posed by environmental disruption, resource scarcity, and rising material demands, while also exhibiting interesting computational capabilities.... Read More about Mycelium-based ELM digital twin implemented in FPGA.

NeuroEvolution algorithms applied in the designing process of biohybrid actuators (2024)
Presentation / Conference Contribution

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 biohybrid actuators and the design process of these systems is far from... Read More about NeuroEvolution algorithms applied in the designing process of biohybrid actuators.

Mycelium-based ELM emulation utilizing memristive oscillating cellular automata (2024)
Presentation / Conference Contribution

Engineered Living Materials (ELMs) represent a novel class of materials that possess intrinsic properties and capabilities inspired by living organisms. Among ELMs, fungal mycelium stands out due to its low-cost manufacturing process, ubiquity in nat... Read More about Mycelium-based ELM emulation utilizing memristive oscillating cellular automata.