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Andreas Löcklin
Andreas Löcklin
Institut für Automatisierungstechnik und Softwaresysteme (IAS), Universität Stuttgart
Verified email at ias.uni-stuttgart.de - Homepage
Title
Cited by
Cited by
Year
Real-time locating system in production management
A Rácz-Szabó, T Ruppert, L Bántay, A Löcklin, L Jakab, J Abonyi
Sensors 20 (23), 6766, 2020
712020
Digital twin for verification and validation of industrial automation systems–a survey
A Löcklin, M Müller, T Jung, N Jazdi, D White, M Weyrich
2020 25th IEEE international conference on emerging technologies and factory …, 2020
712020
Architecture of a human-digital twin as common interface for operator 4.0 applications
A Löcklin, T Jung, N Jazdi, T Ruppert, M Weyrich
Procedia CIRP 104, 458-463, 2021
342021
Formale Methoden für rekonfigurierbare cyber-physische Systeme in der Produktion
M Grochowski, H Simon, D Bohlender, S Kowalewski, A Löcklin, T Müller, ...
at-Automatisierungstechnik 68 (1), 3-14, 2020
292020
Trajectory prediction of humans in factories and warehouses with real-time locating systems
A Löcklin, T Ruppert, L Jakab, R Libert, N Jazdi, M Weyrich
2020 25th IEEE International Conference on Emerging Technologies and Factory …, 2020
242020
A negotiation based approach for agent based production scheduling
M Klein, A Löcklin, N Jazdi, M Weyrich
Procedia Manufacturing 17, 334-341, 2018
232018
Architecture and knowledge modelling for self-organized reconfiguration management of cyber-physical production systems
T Müller, S Kamm, A Löcklin, D White, M Mellinger, N Jazdi, M Weyrich
International Journal of Computer Integrated Manufacturing 36 (12), 1842-1863, 2023
202023
Data administration shell for data-science-driven development
A Löcklin, H Vietz, D White, T Ruppert, N Jazdi, M Weyrich
Procedia CIRP 100, 115-120, 2021
202021
Hypergraph-based analysis and design of intelligent collaborative manufacturing space
L Nagy, T Ruppert, A Löcklin, J Abonyi
Journal of Manufacturing Systems 65, 88-103, 2022
132022
Trajectory prediction of workers to improve AGV and AMR operation based on the manufacturing schedule
A Löcklin, F Dettinger, M Artelt, N Jazdi, M Weyrich
Procedia CIRP 107, 283-288, 2022
102022
Deep learning-based 5G indoor positioning in a manufacturing environment
H Vietz, A Löcklin, HBH Ammar, M Weyrich
2022 IEEE 27th International Conference on Emerging Technologies and Factory …, 2022
72022
Transfer learning as an enhancement for reconfiguration management of cyber-physical production systems
B Maschler, T Müller, A Löcklin, M Weyrich
Procedia CIRP 112, 220-225, 2022
72022
Tailored digitization with real-time locating systems: Ultra-wideband RTLS for production and logistics
A Löcklin, K Przybysz-Herz, T Ruppert, R Libert, L Jakab, N Jazdi, ...
atp magazin 63 (03), 76-83, 2021
72021
A model for improved association of radar and camera objects in an indoor environment
M Ulrich, F Maile, A Löcklin, B Yang, B Kleiner, N Ziegenspeck
2017 Sensor Data Fusion: Trends, Solutions, Applications (SDF), 1-6, 2017
62017
A methodology to identify cognition gaps in visual recognition applications based on convolutional neural networks
H Vietz, T Rauch, A Löcklin, N Jazdi, M Weyrich
2021 IEEE 17th International Conference on Automation Science and …, 2021
52021
Trajectory Prediction of Moving Workers for Autonomous Mobile Robots on the Shop Floor
A Löcklin, M Artelt, T Ruppert, H Vietz, N Jazdi, M Weyrich
2022 IEEE 27th International Conference on Emerging Technologies and Factory …, 2022
42022
Adaptive models for safe maintenance planning of CPS
M Müller, N Jazdi, A Löcklin, L Hettich, M Weyrich
Procedia CIRP 112, 214-219, 2022
22022
Intelligent collaborative manufacturing space for augmenting human workers in semi-automated manufacturing systems
T Ruppert, A Löcklin, D Romero, J Abonyi
2022 IEEE 27th International Conference on Emerging Technologies and Factory …, 2022
12022
Adaptive Models for Safe Maintenance Planning of Cyber-physical Systems
M Müller, A Löcklin, N Jazdi, L Hettich, M Weyrich
Procedia CIRP 81, 2021
12021
Synthetic data generation for the continuous development and testing of autonomous construction machinery
A Schuster, R Hagmanns, I Sonji, A Löcklin, J Petereit, C Ebert, M Weyrich
at-Automatisierungstechnik 71 (11), 953-968, 2023
2023
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