Patrick Schlosser

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About

Patrick Schlosser is a researcher at the forefront of industrial safety and real-time perception systems, with a focus on bridging the gap between advanced robotics and stringent safety standards. His key research areas include plug-and-produce automation, hard real-time machine vision, and human-robot collaboration. Schlosser’s most notable contribution is his work on "Plug-and-Produce... Safely!" (2022, 6 citations), which addresses the critical challenge of integrating modular robotic systems into industrial environments without compromising safety—a foundational step toward flexible, reconfigurable manufacturing. He also made significant strides in "Achieving Hard Real-Time Capability for 3D Human Pose Estimation Systems" (2021, 2 citations), where he demonstrated how to meet the rigorous response time and error rate requirements of safety standards like ISO 13849 and ISO 13855. This work enables 3D pose estimation to be used in safety-critical applications, such as monitoring human proximity to machinery. Schlosser’s research is highly impactful for students and engineers seeking to design safer, more adaptive industrial systems, as it directly tackles the practical constraints of real-world deployment.