Marco Moebus
Papers
1
Total Citations
10
H-Index
1
About
Marco Moebus is a researcher whose work lies at the intersection of robotics, acoustics, and human-robot interaction. His primary research focus is on developing robust, non-visual sensing methods for mobile platforms, particularly through the use of acoustic arrays. His most cited paper, "Parametrization of acoustic images for the detection of human presence by mobile platforms" (2010, 10 citations), addresses a critical challenge in robotics: reliably detecting humans in environments where optical systems fail, such as in poor lighting or smoke. Moebus’s key contribution is the innovative use of a 2D acoustic array to generate a 3D spatial power spectrum, creating an "acoustic image" of a human that is both cost-effective and lighting-independent. This work demonstrates a clever shift from expensive, vision-based systems to cheap, passive acoustic sensing, expanding the possibilities for autonomous navigation and safety. Though his citation count is modest, Moebus’s research offers a foundational approach for integrating acoustic perception into mobile robotics, making him a notable figure in the niche field of acoustic-based human detection.
Research Focus
Key Achievements
Top Papers
- 1