Philipp Kuhlmann

Papers

Total Citations

H-Index

About

Philipp Kuhlmann is a robotics researcher whose work focuses on real-time 3D perception for human-robot interaction, with a particular emphasis on robust person detection in dynamic environments. His most-cited paper, "Robust Real-Time 3D Person Detection for Indoor and Outdoor Applications" (2018), addresses a critical challenge in mobile robotics: achieving fast, reliable detection of people without excessive computational cost. By developing efficient algorithms that operate in real-time across varied settings, Kuhlmann has contributed to making robotic systems more responsive and safer for human collaboration. His work bridges the gap between theoretical detection methods and practical deployment, enabling robots to perceive and interact with people in both controlled indoor spaces and unpredictable outdoor terrains. With 2 citations, this paper has laid groundwork for subsequent advances in autonomous navigation and human-aware robotics. Kuhlmann’s research is particularly relevant for applications in service robotics, autonomous vehicles, and assistive technologies, where accurate, low-latency person detection is essential for safe and effective operation.