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S. Horstmann is a robotics researcher whose work has centered on human-robot interaction, interactive learning systems, and intelligent manufacturing assistants. Active primarily in the early 2000s, Horstmann focused on developing robots capable of being intuitively instructed by human workers to perform tasks either autonomously or collaboratively — a challenge at the forefront of flexible manufacturing research. Horstmann's most influential contributions explore how robots can learn new tasks and environments through direct human guidance. The series of papers on "Interactive Learning for Manufacturing Assistants" (2002–2003), collectively accumulating over 40 citations, introduced prototype systems and underlying representations that enabled robots to adapt to real-world industrial settings. Complementary work on human-friendly interaction and tactile man-robot interfaces demonstrated a consistent commitment to making robotic systems accessible and safe for non-specialist operators. Beyond learning and cooperation, Horstmann contributed to mobile robotics through research on collision-free motion planning using nonlinear optimal control and workspace surveillance for dynamic industrial environments. The 2004 paper on safe human-robot co-operation underscores a recurring theme: ensuring that increased robot autonomy does not come at the cost of worker safety. With a cumulative citation count approaching 85, Horstmann's work remains a meaningful reference point in collaborative industrial robotics.