Papers
5
Total Citations
46
H-Index
3
About
Michael Schwarz is a leading researcher at the intersection of human-robot interaction (HRI) and industrial safety systems, with a core focus on making collaborative robotics both perceptive and fail-safe. His work is defined by two major contributions: first, pioneering real-time, probabilistic methods to evaluate human situation awareness using 3D gaze analysis from eye-tracking glasses, a breakthrough that allows robots to dynamically adapt to human attention in shared workspaces. Second, he has been instrumental in developing novel safety architectures, including a Safety System-on-Chip (SSoC) and 1oo2D communication designs, that enable reliable, multi-channel communication for collision avoidance in Industry 4.0 environments. His most cited work, "Towards Real-time Probabilistic Evaluation of Situation Awareness from Human Gaze in Human-Robot Interaction" (33 citations), lays the groundwork for optimizing HRI through cognitive state monitoring. Schwarz has also advanced the use of millimeter-wave radar sensors for safe position detection and workspace monitoring, offering a robust alternative to traditional vision-based systems. His research is critical for the smart factory vision, directly addressing the safety risks of humans working alongside powerful industrial robots.
Research Focus
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