Christian Gollee
Papers
1
Total Citations
2
H-Index
1
About
Christian Gollee’s research sits at the intersection of industrial robotics and precision engineering, with a core focus on improving the accuracy and rigidity of robotic systems. His most-cited work, “Concept of Developing a Gear Selection Tool for Improved Accuracy in Industrial Robotics” (2025, 2 citations), addresses a critical challenge in modern manufacturing: the inherent trade-off between a robot’s lightweight, agile design and the stiffness needed at the tool center point. Gollee’s major contribution lies in proposing a systematic gear selection methodology that compensates for joint flexibility, thereby enhancing positional accuracy without sacrificing speed or payload. This work is particularly impactful for industries relying on high-precision automation, such as aerospace and electronics assembly. By tackling the fundamental issue of stiffness determination and modeling, Gollee provides a practical framework for engineers to optimize robot performance. Though his citation count is still growing, his research represents a timely and necessary step toward more reliable, accurate industrial robots—a key enabler for the next generation of smart manufacturing.
Research Focus
Key Achievements
Top Papers
- 1