Maurice Artelt
Papers
2
Total Citations
27
H-Index
2
About
Maurice Artelt is a leading researcher in the intersection of human-robot collaboration and intelligent manufacturing systems. His work focuses on trajectory prediction for human workers to enhance the operation of Autonomous Mobile Robots (AMRs) and Automated Guided Vehicles (AGVs) on the shop floor. Artelt’s key contributions lie in developing predictive models that anticipate the future positions of workers, enabling mobile robots to navigate more efficiently and safely in semi-automated environments. His most-cited paper, "Trajectory Prediction of Workers to Improve AGV and AMR Operation based on the Manufacturing Schedule" (2022, 21 citations), demonstrates how integrating manufacturing schedules with human motion forecasting can significantly boost throughput and operational efficiency. In related work (2022, 6 citations), he addresses the interrelated challenges of coexistence and collaboration between humans and robots. Artelt’s research is pivotal for advancing Industry 4.0, offering practical solutions to reduce bottlenecks and improve human-robot synergy. His achievements include pioneering methods that bridge scheduling data with real-time trajectory prediction, a notable step toward fully adaptive and responsive manufacturing systems.
Research Focus
Key Achievements
Top Papers
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