Papers
12
Total Citations
159
H-Index
9
About
Kai Lemmerz is a researcher specializing in human-robot collaboration (HRC) and the integration of collaborative robots into manufacturing and assembly systems. His work sits at the intersection of robotics, industrial engineering, and sociotechnical systems design, with a particular focus on making advanced automation accessible to small and medium-sized enterprises (SMEs). Lemmerz has made significant contributions to the development of practical planning frameworks that help companies identify and implement HRC use cases on the factory floor. His highly cited 2019 papers on integrating collaborative robots into manual assembly lines (25 citations) and sociotechnical planning systems for HRI (24 citations) have become key references for researchers and practitioners navigating this complex field. He has also advanced safety methodologies, notably extending the calculation of dynamic separation distances for robot speed adaptation, and pioneered hybrid collaborative operations combining speed-and-separation monitoring with power-and-force limiting, supported by machine learning. A consistent thread throughout his work is simulation: Lemmerz has developed task-based simulation tools and methods for integrating human models into robotic simulation environments like Gazebo and ROS, enabling safer and more economical system verification. With over 150 cumulative citations, his research provides both conceptual frameworks and hands-on tools that meaningfully lower the barriers to human-robot collaboration in real-world industrial settings.
Research Focus
Key Achievements
Top Papers
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- 8A Quick-Check to Evaluate Assembly Systems’ HRI Potential11 citations · 2019
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- 10ROS-Based Robot Simulation in Human-Robot Collaboration5 citations · 2018