Max Robotics — Global Service Robot Directory + US Certification

About

Stefan Decker’s research career bridges robotics, industrial automation, and the emerging frontier of actionable AI for production. His early seminal work introduced a laser tracking system (LTS) capable of dynamically measuring a robot’s position and orientation along arbitrary paths—a foundational contribution to real-time robotic pose estimation that has garnered 17 citations and remains a reference in precision motion control. More recently, Decker has focused on the Internet of Production (IoP), addressing critical gaps in the Industrial Internet of Things (IIoT) and Industry 4.0. His 2023 paper “Actionable Artificial Intelligence for the Future of Production” (with multiple versions accumulating 8 total citations) tackles inter-company communication standards, safety in human-robot collaboration, and the deployment of AI that drives tangible manufacturing outcomes. Decker’s work is notable for its practical impact: his early LTS research enabled more accurate robot calibration, while his current IoP vision aims to create seamless, secure data exchange across production ecosystems. For students and researchers, Decker exemplifies how foundational measurement science can evolve into system-level AI solutions for smart factories, making him a key figure in the transition from isolated robotic systems to interconnected, intelligent production networks.