bio-inspired robotics

Celestial compass sensor mimics the insect eye for navigation under cloudy and occluded skies
Editor’s Choice Paper 2023. Hardware prototype of the model using a ring of UV-sensitive photodiode pairs, and test it under cloudy and occluded skies.
Evripidis Gkanias, Robert Mitchell, Jan Stankiewicz, Sadeque R. Khan, Srinjoy Mitra, Barbara Webb
Celestial compass sensor mimics the insect eye for navigation under cloudy and occluded skies
Multimodal skylight information improves the estimation of the celestial compass: insights from a hardware implementation
Aug 22, 2023 10:40 AM — Aug 2, 2023 11:00 AM Bäckaskog Slott, Sweden
Evripidis Gkanias, Robert Mitchell, Barbara Webb
Multimodal skylight information improves the estimation of the celestial compass: insights from a hardware implementation
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
Imitating the Drosophila Larval Learning Behaviour on a Robot
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Oct 8, 2018 2:00 PM — 3:45 PM University of Edinburgh, United Kingdom
Evripidis Gkanias, Kostantinos Lagogannis, Barbara Webb
Insect neuroethology of reinforcement learning
Thesis - Doctor of Philosophy. I inversigated how insects form associative memories in their mushroom bodies and how this impacts their olfactory learning, visual navigation, and time-delayed reinforcements tasks.
Insect neuroethology of reinforcement learning
Predator Evasion by a Robocrab
Jul 27, 2017 10:00 AM — 10:20 AM Stanford University, CA, United States
Evripidis Gkanias, Theodoros Stouraitis, Jan M. Hemmi, Barbara Webb
Predator Evasion by a Robocrab
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