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Hua

M. Sc. Yingbing Hua
Wissenschaftlicher Mitarbeiter
group: Intelligent Industrial Robotics (IIROB)
room: 005
phone: +49 721 608-47122
fax: +49 721 608-47141
yingbing hua ∂does-not-exist.kit edu

Personal

General Information:

Place of birth: Jiangsu
Nationality: chinesisch

 

Career:

from 01/2014
Research assistant at IPR

02/2012 - 07/2012
Master thesis at Company KUKA Laboratroies GmbH
Topic: Fast Collision Avoidance between Robot and surrounding Environment using Inner Sphere Tree and Point Clouds

09/2006 - 11/2012
Informatics studies at Clausthal University of Technology

Languages: German, English, Chinese

 

Projects
title funding startdate enddate contact
ReApp: Wiederverwendbare Roboterapplikationen für flexible Roboteranlagen basierend auf Industrial Ros

BMWi

01/2014

12/2016

Prof. Dr.-Ing. Björn Hein
Yingbing Hua, M.Sc.


Publikationen


AQT - A Query Template for AutomationML
Hua, Y.; Hein, B.
2021. IEEE transactions on industrial informatics, 17 (2), 1018–1028. doi:10.1109/TII.2020.2989125
Rapid Restart Hill Climbing for Learning Description Logic Concepts
Hua, Y.; Hein, B.
2020. 29th International Conference on Inductive Logic Programming, ILP 2019, Plovdiv, Bulgaria, 3 - 5 September 2019, 46–61, Springer Verlag. doi:10.1007/978-3-030-49210-6_5
Concept Learning in AutomationML with Formal Semantics and Inductive Logic Programming
Hua, Y.; Hein, B.
2018. 2018 IEEE 14th International Conference on Automation Science and Engineering (CASE), München, 20. - 24. August 2018, 1542–1547, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/COASE.2018.8560541
Modulare und Wandlungsfähige Robotersysteme: Modellbasierte Softwareentwicklung basierend auf AutomationML und ontologischer Semantik
Hua, Y.; Mende, M.; Hein, B.
2017. Industrie 4.0 Management, (6), 33–37
Concept learning in engineering based on refinement operator
Hua, Y.; Hein, B.
2018. Up-and-Coming and Short Papers of the 28th International Conference on Inductive Logic Programming (UCS-ILP 2018) Ferrara, I, September 2-4, 2018, 76–83, RWTH Aachen
Utilizing Ontological Classification Systems and Reasoning for Cyber-Physical Systems
Zander, S.; Hua, Y.
2017. Proceedings of the Second KSS Research Workshop : Karlsruhe, Germany, February 2016. Ed.: P. Hottum, 176–183, Karlsruher Institut für Technologie (KIT)
From AutomationML to ROS: A model-driven approach for software engineering of industrial robotics using ontological reasoning
Hua, Y.; Zander, S.; Bordignon, M.; Hein, B.
2016. 2016 IEEE 21st International Conference on Emerging Technologies and Factory Automation (ETFA), Berlin, Germany, 6–9 September 2016, 1–8, Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/ETFA.2016.7733579
Empowering the Model-driven Engineering of Robotic Applications using Ontological Semantics and Reasoning
Zander, S.; Ahmed, N.; Hua, Y.
2016. 8th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, Porto, Portugal, November 9-11, 2016. Vol.: 2: KEOD, 192–198, SciTePress. doi:10.5220/0006086201920198