Max Robotics — Global Service Robot Directory + US Certification

About

Klaus Selke is a researcher whose work sits at the intersection of robotics, artificial intelligence, and industrial automation, with a particular focus on flexible robotic assembly systems. Active during the late 1980s and early 1990s, Selke made meaningful contributions to the challenge of making robotic assembly cells more adaptable and intelligent in real-world manufacturing environments. His most influential work, "A Strategy for Sensors and Rules in Flexible Robotic Assembly" (1991), garnered 11 citations and introduced a structured framework for error recovery in assembly processes — a critical bottleneck in industrial automation. By formalizing how sensors and rule-based logic can guide robotic decision-making, Selke helped lay conceptual groundwork for more resilient automated systems. Equally notable is his 1987 paper on knowledge-based robotic assembly, cited across multiple venues with a combined impact of 17 citations, which demonstrated how artificial intelligence techniques — drawing on both shopfloor experience and academic expertise — could measurably improve productivity in assembly cells. His 1988 contribution further grounded this research in real industrial observation, reinforcing the practical applicability of his ideas. Selke's body of work reflects a pioneering effort to bridge theoretical AI with the realities of manufacturing automation.