Helge Drumm
Papers
1
Total Citations
31
H-Index
1
About
Helge Drumm is a robotics researcher whose work focuses on enabling mobile robots to perceive and interact with humans in social environments. His key research areas include human-robot interaction, computer vision, and robust perception for autonomous navigation. Drumm’s most notable contribution is his work on “Deep orientation,” a fast and robust method for estimating upper body orientation in real-time, even under the computational constraints of mobile robotic platforms. This capability is critical for socially aware navigation—for instance, determining whether a person in a supermarket is browsing shelves or preparing to move, allowing the robot to plan its path accordingly. With 31 citations, this paper has become a reference point for researchers developing socially compliant robots. Drumm’s work addresses the challenge of balancing accuracy with limited onboard computing power, making his contributions particularly valuable for practical, real-world deployment. His research helps bridge the gap between robotic perception and natural human behavior, advancing the field of mobile robotics toward more intuitive and safe coexistence with people.
Research Focus
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Top Papers
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