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-brain inspired neuromorphic nanophotonics
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.
Insect neuroethology of reinforcement learning
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