Nao
Visualitza/Obre
Memòria (32,16Mb) (Accés restringit)
Estadístiques de LA Referencia / Recolecta
Inclou dades d'ús des de 2022
Cita com:
hdl:2117/129490
Tutor / directorZouganeli, Evi
Realitzat a/ambHøgskolen i Oslo
Tipus de documentTreball Final de Grau
Data2017-11
Condicions d'accésAccés restringit per decisió de l'autor
Tots els drets reservats. Aquesta obra està protegida pels drets de propietat intel·lectual i
industrial corresponents. Sense perjudici de les exempcions legals existents, queda prohibida la seva
reproducció, distribució, comunicació pública o transformació sense l'autorització del titular dels drets
Abstract
The robotics facilities at Oslo and Akershus University College of Applied Sciences (HiOA) have at their disposal an autonomous humanoid robot by the name of Nao. It is a commercial product developed by SoftBank Robotics for research and educational purposes, and an international project team was assembled for the European Project Semester (EPS) program as a means of assessing its competencies and bolstering them wherever possible. The team set forth with a mission to establish meaningful interactions between the robot and his physical surroundings while placing an emphasis on humanlike behavior to the fullest extent. A goal was soon initiated for Nao to play a rule-based game against a human opponent such that his vast array of available faculties could be tested and put to use in one cohesive demonstration. Achieving this goal meant making advances in artificial intelligence,computer vision and motion planning, first as separate entities that would later converge into a singular yet multifaceted display of abilities. At the end of the project, computer vision has been implemented to the point where pattern recognition can be performed with accuracy amidst awide variety of error-prone detection scenarios. Several artificial intelligence schemes have been explored and compared quantitatively to derive performance metrics for each. Proof-ofconcept movement strategies have also been derived, and best practices for each focus area are provided as a resource for any future researchers or project groups who stand to benefit from the discoveries made in this endeavor
Descripció
Treball desenvolupat dins el marc del programa 'European Project Semester'.
MatèriesRobotics, Autonomous robots, Artificial intelligence, Robòtica, Robots autònoms, Intel·ligència artificial
TitulacióGRAU EN ENGINYERIA INFORMÀTICA (Pla 2010)
Fitxers | Descripció | Mida | Format | Visualitza |
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MarveenParrasProject.pdf | Memòria | 32,16Mb | Accés restringit |