Titlebook: Biomimetic and Biohybrid Systems; 7th International Co Vasiliki Vouloutsi‘,José Halloy,Paul F.M.J. Versch Conference proceedings 2018 Sprin

Estrogen

Insect-Inspired Elementary Motion Detection Embracing Resistive Memory and Spiking Neural Networks, (HfO.) based resistive random access memories (RRAM) acting as the synaptic connections between them. A genetic algorithm (GA) is used to optimize the parameters of the network, within an experimentally determined range of RRAM conductance values, and through simulation it is demonstrated that the

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A Hexapod Walking Robot Mimicking Navigation Strategies of Desert Ants Cataglyphis,small number of pixels (only 14 here), and a high robustness and precision (mean error of 4.8 cm for an overall path ranging from 2 m to 5 m). Finally, this work presents highly interesting field results of ant-based theoretical models for homing tasks that have not been tested yet in insectoid robo

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Guileless

,Modeling the Opponent’s Action Using Control-Based Reinforcement Learning,provide different kinds of advantages that can become significant when interacting with different kinds of agents. We argue that no single proposed addition to the learning architecture is sufficient to optimize performance in these scenarios, but a combination of the different mechanisms suggested

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Graduated

Lecture Notes in Computer Science correspond to the observed fish behaviour in real-time. The calibrated model is updated on the robot and tested during the experiments. This method allows to cope with changes of dynamics in fish behaviour. Moreover, each fish presents individual behavioural differences. Thus, each trial is done wi

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Halfhearted

Lecture Notes in Computer Scienceferent kinds of optimisation algorithms that have been widely used in both theoretical study and practical applications. In this paper, we discuss and present the impact of nature inspired algorithms and digital advanced on biomimetic approach in architectural and urban design. We demonstrate how ar

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