Marvin Carl May

Orcid: 0000-0002-9361-6685

According to our database1, Marvin Carl May authored at least 13 papers between 2022 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
ROSCell: A ROS2-Based Framework for Automated Formation and Orchestration of Multi-Robot Systems.
CoRR, March, 2026

Real-to-sim: automatic simulation model generation for a digital twin in semiconductor manufacturing.
J. Intell. Manuf., February, 2026

2025
Large Language Models for Heuristics to Solve Aggregate Production Planning.
Proceedings of the Advances in Production Management Systems. Cyber-Physical-Human Production Systems: Human-AI Collaboration and Beyond, 2025

LLMs as Data Preprocessors for Natural Language Processing in Manufacturing.
Proceedings of the 30th IEEE International Conference on Emerging Technologies and Factory Automation, 2025

2024
Managing product-inherent constraints with artificial intelligence: production control for time constraints in semiconductor manufacturing.
J. Intell. Manuf., December, 2024

Reinforcement learning for sustainability enhancement of production lines.
J. Intell. Manuf., December, 2024

Self-learning and autonomously adapting manufacturing equipment for the circular factory.
Autom., September, 2024

Automated model generation framework for material flow simulations of production systems.
Int. J. Prod. Res., January, 2024

Human-AI Interaction in Industrial Robotics: Design and Empirical Evaluation of a User Interface for Explainable AI-Based Robot Program Optimization.
CoRR, 2024

Unlocking the Potential of Remanufacturing Through Machine Learning and Data-Driven Models - A Survey.
Algorithms, 2024

Digital Twin Based Uncertainty Informed Time Constraint Control in Semiconductor Manufacturing.
Proceedings of the Winter Simulation Conference, 2024

2022
Modelling and condition-based control of a flexible and hybrid disassembly system with manual and autonomous workstations using reinforcement learning.
J. Intell. Manuf., 2022

Explainable reinforcement learning in production control of job shop manufacturing system.
Int. J. Prod. Res., 2022


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