Evripidis Gkanias
Evripidis Gkanias
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robotics
Insect-brain inspired neuromorphic nanophotonics
The goal of the project is to develop nanophotonic on-chip devices for integrated sensing and neural computation, inspired by the insect brain.
Insect neuroethology of reinforcement learning
Thesis - Doctor of Philosophy. We inversigate how insects for associative memories based on reinforcements from the environment and how this impacts their behaviour and especially navigation.
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.
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
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
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