Philipp Viertel

Papers

Total Citations

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About

Philipp Viertel is a researcher at the intersection of robotics, human-robot interaction (HRI), and augmented reality (AR), with a focus on enabling intuitive and safe robot navigation. His key contributions center on developing novel methods for workspace restriction, moving beyond traditional HRI approaches. In his most-cited work, "Learning Virtual Borders through Semantic Scene Understanding and Augmented Reality" (2019, 9 citations), Viertel pioneered a system that allows users to dynamically define virtual boundaries for mobile robots by combining semantic scene understanding with AR interfaces. This approach empowers operators to interactively restrict robot workspaces—preventing navigation errors or excluding hazardous areas—without requiring complex programming. By integrating real-time environmental perception with user-friendly AR overlays, Viertel’s work enhances both safety and flexibility in human-robot collaboration. His research has been recognized for bridging the gap between autonomous navigation and human oversight, offering practical solutions for industrial and domestic robotics. With a growing citation impact, Viertel continues to advance the field of interactive robot control, making autonomous systems more accessible and trustworthy for everyday users.