Andreas Trenkle
Papers
2
Total Citations
9
H-Index
2
About
Andreas Trenkle is a researcher in robotics and human-robot interaction, with a focus on advancing intralogistics through intuitive control systems. His key research areas include gesture recognition, autonomous guided vehicles (AGVs), and 3D sensor-based human detection. Trenkle’s major contribution is the development of “FiFi,” a gesture-controlled transportation robot designed to streamline manual transport in internal logistics. By leveraging 3D camera data for person and gesture detection, FiFi enables contactless, intuitive operation, reducing physical strain and improving efficiency in warehouse environments. His work on interpreting pointing gestures (2015, 3 citations) and controlling AGVs through gesture and person detection (2024, 6 citations) demonstrates a practical, user-centered approach to automation. While his citation counts are modest, Trenkle’s research is notable for its direct application to real-world logistics challenges, bridging the gap between advanced sensing technology and everyday industrial use. His achievements lay groundwork for more accessible, human-friendly robotic systems in manufacturing and distribution.
Research Focus
Key Achievements
Top Papers
- 1FiFi – Controlling an AGV by detection of gestures and persons6 citations · 2024
- 2