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Digital archive of theses discussed at the University of Pisa

 

Thesis etd-07262022-114234


Thesis type
Tesi di laurea magistrale
Author
FAZZARI, EDOARDO
URN
etd-07262022-114234
Thesis title
AI in the Loop in Animal Robot Interaction
Department
INGEGNERIA DELL'INFORMAZIONE
Course of study
ARTIFICIAL INTELLIGENCE AND DATA ENGINEERING
Supervisors
relatore Prof. Falchi, Fabrizio
relatore Prof. Stefanini, Cesare
relatore Dott. Romano, Donato
relatore Dott. Carrara, Fabio
Keywords
  • ai
  • biosensors
  • computer vision
  • convolutional neural network
  • cricket
  • deep learning
Graduation session start date
23/09/2022
Availability
Withheld
Release date
23/09/2025
Summary
Animal-robot interaction is an interesting topic that have emerged very recently and it is still under development, thus offering many areas of research that has not yet been investigated. The main contribution of this thesis is to introduce artificial intelligence methods in the loop in animal-robot interaction. Specifically, this thesis deals with the classification of the interaction that occurred between an insect (Orthoptera: Ensifera) and two chemical agents (sugar and ammonia) through the readings of the animal’s antennae.
This was carried out in two steps: first, a deep neural network was developed and trained, using state-of-the art computer vision techniques, to locate the position of specific parts of the cricket in order to generate reliable numeric sequences; subsequently, these obtained sequences were used to identify the type of interaction that happened, using one-dimensional convolutional deep learning techniques.
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