Genetic Algorithms for human-like expressions in an autonomous vehicle
Typ
Examensarbete för masterexamen
Master's Thesis
Master's Thesis
Program
Complex adaptive systems (MPCAS), MSc
Publicerad
Författare
Gosálvez White, Alberto
Birkisson, Róbert Fjölnir
Modellbyggare
Tidskriftstitel
ISSN
Volymtitel
Utgivare
Sammanfattning
Advancing AI technologies have bridged the gap between science fiction and reality,
and a future where advanced human-robotic interaction is common doesn’t seem far
away. While AI models are getting smarter in conversation and reasoning they are
still missing a crucial piece in human communication, namely facial expressions.
In this project, we investigate the prospect of using a Genetic Algorithm with Behavior Trees to create the illusion of having emotions for an autonomous vehicle.
The vehicle, called Will-e, determines on its own an appropriate emotional state and
then expresses those emotions using LED-matrices in the form of eyes and a mouth.
We implement these algorithms, train them, and test them in a populated setting
and explore how people interact with the robot.
Beskrivning
Ämne/nyckelord
Behavior tree , Genetic algorithms , autonomous robot , human-robot interaction , emotions , social robotics