Marco Klepatzky
Papers
1
Total Citations
3
H-Index
1
About
Marco Klepatzky is a robotics researcher specializing in mobile robot positioning and trajectory control, with a focus on enhancing precision in autonomous systems. His key research areas include hybrid control systems, odometry error mitigation, and tracked-robot architecture optimization. Klepatzky’s major contribution lies in developing a hybrid positioning system that significantly reduces cumulative displacement errors in mobile robots following fixed trajectories—a critical challenge in industrial automation and logistics. His most-cited work, "Desarrollo de un sistema de posicionamiento mediante control “híbrido” para el seguimiento de una trayectoria fija aplicado a un robot móvil con arquitectura oruga" (2019, 3 citations), proposes an optimization method that improves accuracy for tracked-architecture robots, which are prone to drift over long distances. While his citation count is modest, his work addresses a fundamental bottleneck in real-world robotics: the trade-off between autonomous navigation and positional reliability. Klepatzky’s research is particularly notable for its practical application in predefined-route scenarios, such as warehouse or factory floor automation, where even small errors can compound into significant deviations. His hybrid control approach offers a scalable solution for industries requiring consistent, repeatable robot movement without expensive sensor upgrades.
Research Focus
Key Achievements
Top Papers
- 1