Raven T. Reisch

Technical University of Munich, Siemens (Germany)

Papers

2

Total Citations

53

H-Index

2

About

Raven T. Reisch is a leading researcher in advanced manufacturing, specializing in Wire Arc Additive Manufacturing (WAAM) and human–robot collaboration. Their seminal 2020 work on a "Robot Based Wire Arc Additive Manufacturing System with Context-Sensitive Multivariate Monitoring Framework" (47 citations) revolutionized large-scale metal part production by addressing the resource inefficiency of traditional milling—where buy-to-fly ratios can reach 10:1. Reisch’s system integrates real-time monitoring to enhance the reliability of Direct Energy Deposition, offering a sustainable alternative for industries like aerospace and automotive. More recently, Reisch’s 2022 study on "Influence of task decision autonomy on physical ergonomics and robot performances in an industrial human–robot collaboration scenario" (6 citations) pioneers a human-centric approach to collaborative task design. By empowering operators with decision-making autonomy, this work bridges the gap between worker welfare and robotic efficiency, tackling key adoption barriers in industrial settings. Reisch’s contributions are pivotal for creating smarter, safer, and more sustainable manufacturing ecosystems, earning recognition for advancing both technical precision and human factors in Industry 4.0.

Research Focus

Key Achievements

2
H-Index
2
Papers
53
Total Citations
27
Avg Citations/Paper
🏆 Most Cited Paper
Robot Based Wire Arc Additive Manufacturing System with Context-Sensitive Multivariate Monitoring Framework
47 citations · 2020
📈 Most Prolific Year: 2020 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Technical University of Munich, Siemens (Germany)

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
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