Philipp Geuer
Papers
2
Total Citations
18
H-Index
2
About
Philipp Geuer is a researcher at the forefront of enabling AI-driven connectivity for industrial automation, with a primary focus on wireless communication systems for autonomous guided vehicles (AGVs) and the Industrial Internet of Things (IIoT). His major contributions center on the creation and analysis of real-world measurement datasets that capture the unique challenges of industrial environments, particularly for vehicle-to-vehicle (iV2V) and vehicle-to-infrastructure plus sensor (iV2I+) communication. His most-cited work, “Toward an AI-Enabled Connected Industry: AGV Communication and Sensor Measurement Datasets” (2024), has already garnered 15 citations, demonstrating its immediate impact on the field. This research provides critical empirical data for developing and validating AI-based solutions for sidelink communication between moving AGVs, a key enabler for smart factories. By bridging the gap between theoretical models and practical deployment, Geuer’s datasets serve as a foundational resource for engineers and researchers working on reliable, low-latency wireless networks in harsh industrial settings. His work is instrumental in advancing the vision of fully connected, autonomous industrial ecosystems.
Research Focus
Key Achievements
Top Papers
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