Max Robotics — Global Service Robot Directory + US Certification

About

Simon Stelter is a robotics researcher whose work sits at the intersection of knowledge representation, cloud robotics, and autonomous mobile manipulation. His most influential contribution, "The Exchange of Knowledge Using Cloud Robotics" (2018, accumulating nearly 50 citations across versions), established a foundational framework for enabling robots to crowd-source and share encyclopedic knowledge through cloud infrastructure — a significant step toward bridging the gap between robot capabilities and human-level task flexibility. His research spans several complementary fronts: environment modeling through knowledge graphs and virtual reality, contact-event detection via multidimensional time-series shapelets, and open-source motion planning for mobile manipulators. Notably, Stelter has applied these techniques to real-world retail robotics challenges, contributing to projects like MARLIN, an intralogistics cloud-integrated robotic system, and autonomous shelf-refilling robots. His open-source perception and motion planning frameworks reflect a commitment to accessible, reproducible research. With a body of work touching machine learning, semantic reasoning, and whole-body robot control, Stelter's research offers students and practitioners alike a rich roadmap for building capable, knowledge-driven service robots in unstructured, human-scale environments.