Process oriented ontology based robotic task planning and modelling

This thesis describes the research contribution I have made for my PhD study. The main goal of my research is to resolve the challenges that SEMs are facing when implementing robotic solutions in agile manufacturing. The main challenges identified are to gain the rich robotic expertise required to u...

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Bibliographic Details
Author: Congyu, Zhang Sprenger
Format: doctoral thesis
Publication Date:2025
Country:España
Institution:Universidad de Santiago de Compostela (USC)
Repository:Minerva. Repositorio Institucional de la Universidad de Santiago de Compostela
Language:English
OAI Identifier:oai:minerva.usc.gal:10347/42108
Online Access:https://hdl.handle.net/10347/42108
Access Level:Open access
Keyword:HRC (Human Robot Collaboration)
RTMN (Robot Task Modelling and Notation)
ORPP (Ontology for Robot Process Planning)
Ontology
120304 Inteligencia artificial
Description
Summary:This thesis describes the research contribution I have made for my PhD study. The main goal of my research is to resolve the challenges that SEMs are facing when implementing robotic solutions in agile manufacturing. The main challenges identified are to gain the rich robotic expertise required to understand the high complexity of existing robotic systems, and to acquire the comprehensive knowledge behind robotic systems, as well as reducing the high programming costs for implementation. My main contributions are to ease these challenges by creating an intuitive modelling language to plan and control robotic processes with the support of ontology. This enables nonrobotic experts to flexibly program and reprogram robots as well as acquire relevant knowledge to achieve mass-customization.