Daniel Lütticke

Orcid: 0000-0002-7070-8018

According to our database1, Daniel Lütticke authored at least 15 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Beyond games: a systematic review of neural Monte Carlo tree search applications.
Appl. Intell., January, 2024

2023
A Data-Driven Two-Phase Multi-Split Causal Ensemble Model for Time Series.
Symmetry, April, 2023

Evolving the Digital Industrial Infrastructure for Production: Steps Taken and the Road Ahead.
CoRR, 2023

Reward Shaping for Job Shop Scheduling.
Proceedings of the Machine Learning, Optimization, and Data Science, 2023

Human-Machine Learning Approach for Ejection System Design in Injection Molds.
Proceedings of the Artificial Intelligence in HCI, 2023

2022
Deep Reinforcement Learning for Robotic Control in High-Dexterity Assembly Tasks - A Reward Curriculum Approach.
Int. J. Semantic Comput., 2022

A Conceptual Framework for Production Process Parameter Optimization with Modular Hybrid Simulations.
Proceedings of the Software Engineering and Formal Methods. SEFM 2022 Collocated Workshops, 2022

Human-Centric Machine Learning Approach for Injection Mold Design: Towards Automated Ejector Pin Placement.
Proceedings of the Machine Learning, Optimization, and Data Science, 2022

Controlled Synthesis of Fibre-reinforced Plastics Images from Segmentation Maps using Generative Adversarial Neural Networks.
Proceedings of the 14th International Conference on Agents and Artificial Intelligence, 2022

2021
Optimisation of a Workpiece Clamping Position with Reinforcement Learning for Complex Milling Applications.
Proceedings of the Machine Learning, Optimization, and Data Science, 2021

Digitizing a Distributed Textile Production Process using Industrial Internet of Things: A Use-Case.
Proceedings of the 4th IEEE International Conference on Industrial Cyber-Physical Systems, 2021

Manufacturing Control in Job Shop Environments with Reinforcement Learning.
Proceedings of the 13th International Conference on Agents and Artificial Intelligence, 2021

2020
Using Reinforcement Learning for Optimization of a Workpiece Clamping Position in a Machine Tool.
Proceedings of the 22nd International Conference on Enterprise Information Systems, 2020

2018
Design of an Automated Measuring System for RFID Transponders in Complex Environments.
Proceedings of the IEEE International Conference on RFID Technology & Application, 2018

2017
Cyber-Physical Production Systems: A Teaching Concept in Engineering Education.
Proceedings of the 6th IIAI International Congress on Advanced Applied Informatics, 2017


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