Title
Iris - A knowledge Graph-based chatbot for Explaining Robotic Scenario Information to Human Operators in a Retail Setting
Author
Xu, Ke (TU Delft Mechanical, Maritime and Materials Engineering)
Contributor
Hernández, Carlos (mentor) 
Mercuriali, P.R. (graduation committee)
Eisma, Y.B. (graduation committee)
Pezzato, C. (graduation committee)
Degree granting institution
Delft University of Technology
Programme
Mechanical Engineering | Vehicle Engineering | Cognitive Robotics
Date
2023-03-21
Abstract
The problem of assisting users in comprehending the robotic scenario information in a retail setting has been studied. To design the system, an integrated ontology composed of several IEEE standard ontologies and a labelled property graph (LPG)-based ontology modified from the Web Ontology Language (OWL)-based ontology was proposed to symbolize information in the robotic environment. Then, a knowledge graph (KG)-based chatbot was developed to provide natural language interaction with users. A case study in a retail setting was designed, and the results were analyzed. The effectiveness of our designed system has been experimentally validated in both static and dynamic scenarios, with at least 1.5 times improvements.
Subject
Knowledge Representation
Ontology
Knowledg Graph
Chatbot
Human-Robot Interaction
To reference this document use:
http://resolver.tudelft.nl/uuid:5c1065b7-9dcd-4079-bd87-30b041266deb
Embargo date
2024-08-31
Part of collection
Student theses
Document type
master thesis
Rights
© 2023 Ke Xu