Jonas Wassermann

Technische Universität Berlin

Papers

4

Total Citations

23

H-Index

2

About

Jonas Wassermann is a researcher at the forefront of industrial robotics and intelligent manufacturing, specializing in intuitive robot programming, environment perception, and automated quality assurance. His work addresses the critical challenge of flexible production in the era of Industry 4.0, where small lot sizes and rapid reconfiguration demand new approaches to robot control. Wassermann’s most influential contribution, “Intuitive robot programming through environment perception, augmented reality simulation and automated program verification” (2018, 17 citations), introduces a paradigm that replaces complex, time-consuming manual programming with an intuitive, perception-driven workflow. This system leverages augmented reality for simulation and automated verification to reduce downtime and errors, making industrial robots accessible for high-mix, low-volume production. His subsequent work on distributed cloud-based path planning (2018) and service-oriented robotic manufacturing, demonstrated through participation in the World Robot Challenge 2018, further advances the vision of connected, reconfigurable production cells. Most recently, Wassermann has applied his expertise to non-destructive testing, developing a robot-guided ultrasonic array system for automated wall thickness evaluation of turbine blades (2024), a critical innovation for the maintenance and efficiency of gas turbines. With a growing citation footprint, Wassermann’s research is shaping the future of agile, intelligent manufacturing.

Research Focus

Key Achievements

2
H-Index
4
Papers
23
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Intuitive robot programming through environment perception, augmented reality simulation and automated program verification
17 citations · 2018
📈 Most Prolific Year: 2018 (2 Papers)
🤝 Key Collaborators: 18
🏛 Institutions: Technische Universität Berlin

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago