computational model

Predator Evasion by a Robocrab
Theodoros Stouraitis, Evripidis Gkanias, Barbara Webb
Exploiting invisible cues for robot navigation in complex natural environments
Design a sensor that transforms skylight into a compass direction.
Exploiting invisible cues for robot navigation in complex natural environments
Miniature insect model for active learning (minimal)
We develop a new foundation for understanding natural learning by developing a complete multilevel model of learning in larvae
Miniature insect model for active learning (minimal)
Robocrab: data-driven adaptation of the evation behaviour in fiddler crabs
Disertation - Master of Science. We create a semi-supervised structure of neural network, inspired by the physiology of neurons in fiddler crabs, and train it to adapt the evasion behaviour of fiddler crabs on potential predators, solving a complicated visuomotor problem (developed in Python using the Theano/Tensorflow-based ‘keras’ library
Robocrab: data-driven adaptation of the evation behaviour in fiddler crabs