Papers
3
Total Citations
101
H-Index
3
About
Dr. Johannes Kohl is a leading researcher in sustainable manufacturing and industrial automation, with a focus on energy-efficient robotics and intelligent maintenance systems. His work addresses critical challenges in Industry 4.0, particularly the intersection of energy consumption, dynamic behavior, and fault diagnosis in automated production. His most influential work, "Energy Consumption and Dynamic Behavior Analysis of a Six-axis Industrial Robot in an Assembly System" (2014, 88 citations), provides a foundational experimental validation of a dynamic model for six-axis industrial robots, demonstrating how operating parameters like payload and speed directly impact power consumption. This research is essential for designing greener, more cost-effective assembly lines. Dr. Kohl further advances the field by developing modular web frameworks for socio-CPS-based condition monitoring, enabling more resilient and fault-tolerant production systems. He has also pioneered intelligent energy profiling techniques for decentralized fault diagnosis, transforming energy management data into actionable insights for predictive maintenance. Through these contributions, Dr. Kohl is helping to shape the next generation of smart, energy-aware factories, making his work highly relevant for researchers and engineers pursuing sustainable automation.
Research Focus
Key Achievements
Top Papers
- 1
- 2A modular web framework for socio-CPS-based condition monitoring10 citations · 2016
- 3