Papers

17

Total Citations

220

H-Index

9

About

Jochen Deuse is a leading researcher in the field of human-robot collaboration (HRC), with a particular focus on making advanced automation accessible for small and medium-sized enterprises (SMEs). His work centers on developing sociotechnical planning systems that bridge the gap between robotic capability and practical industrial application, especially in assembly and welding processes. Deuse’s major contributions include creating intuitive interfaces for reciprocal human-robot interaction, where robots adapt to individual workers while operators maintain control over key tasks. He has also pioneered retrofit approaches for predictive maintenance and offline simulation techniques that ensure human safety in real-time workspaces. With over 40 citations for his foundational work on intuitive work assistance, and numerous papers on task-based simulation and formal modelling of manual processes, Deuse’s research has significantly influenced how SMEs can implement service robotics without prohibitive costs. His recent systematic literature review on learning from demonstration highlights ongoing efforts to democratize robot programming. Deuse’s work is essential reading for anyone interested in practical, safe, and worker-centered automation solutions.

Research Focus

Key Achievements

9
H-Index
17
Papers
220
Total Citations
13
Avg Citations/Paper
🏆 Most Cited Paper
Intuitive Work Assistance by Reciprocal Human-robot Interaction in the Subject Area of Direct Human-robot Collaboration
40 citations · 2016
📈 Most Prolific Year: 2016 (6 Papers)
🤝 Key Collaborators: 36
🏛 Institutions: TU Dortmund University, Institut für Forschung und Transfer, University of Technology Sydney

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago