Max Robotics — Global Service Robot Directory + US Certification

About

Peter Gulden is a researcher specializing in wireless positioning, indoor localization, and autonomous navigation systems, with a particular focus on their applications in industrial automation and service robotics. His work addresses one of the most pressing challenges in modern manufacturing and robotics: accurately determining the position and orientation of mobile agents in complex, real-world environments. Gulden's most influential contribution, "Steady Delivery" (2017, 51 citations), examines wireless local positioning systems for transport vehicles and mobile robots, demonstrating how technologies like RFID and the Internet of Things can transform logistics and manufacturing competitiveness. Building on this foundation, his 2018 work on multi-modal sensor fusion (25 citations) introduced an innovative indoor positioning approach combining wireless range and angle measurements to solve mobile robot pose estimation — a critical requirement for reliable autonomous operation. His research further extends into industrial automation through bearings-only Extended Kalman Filter techniques (2018, 11 citations) and human-robot interaction using 24-GHz wireless localization (2019). Collectively, Gulden's contributions sit at the intersection of wireless sensing, signal processing, and robotics, offering practical solutions that support the evolving demands of Industry 4.0 and next-generation service robotics.