Michel Gohl
Papers
1
Total Citations
3
H-Index
1
About
Michel Gohl is a robotics researcher whose work centers on human-robot interaction and gesture-based control systems for intralogistics. His key contributions lie in developing intuitive, non-verbal communication methods for autonomous transportation robots, particularly through the design and implementation of the gesture-controlled robot "FiFi." In his most-cited work, Gohl details how FiFi interprets pointing gestures via 3D-camera detection, enabling seamless manual transport assistance in warehouse and factory environments. This research addresses a critical gap in internal logistics by allowing workers to direct robot movement naturally, without complex interfaces or programming. While his citation count (3) reflects a focused, early-stage contribution, the work on FiFi demonstrates practical innovation in merging computer vision, gesture recognition, and mobile robotics for real-world industrial applications. Gohl’s research highlights the potential for intuitive human-robot collaboration to improve efficiency and safety in material handling, laying groundwork for more adaptive, user-friendly automation systems in logistics.
Research Focus
Key Achievements
Top Papers
- 1