Johannes Trabert

MetraLabs (Germany)

Papers

5

Total Citations

58

H-Index

3

About

Johannes Trabert is a researcher specializing in autonomous robotics, radio frequency identification (RFID) localization, and ultra-wideband (UWB) radar systems, with a particular focus on intelligent warehouse automation and service robotics. His most impactful contribution, "Stocktaking Robots, Automatic Inventory, and 3D Product Maps" (2021, 28 citations), demonstrates his pioneering work applying UHF-RFID synthetic aperture localization techniques to create smart warehouse environments capable of generating precise three-dimensional product maps. Building on this, his 2020 paper introducing a novel UHF-RFID listener hardware architecture for mobile robot-based MIMO SAR localization (21 citations) established key technical foundations for fully autonomous inventory systems. Trabert's research extends beyond warehousing into broader service robotics challenges, including robot navigation using M-sequence UWB radars and safety-critical tasks such as descending staircase detection. His early visionary work, "I – Robot, to Help You – Librarian" (2017), reveals a consistent thread throughout his career: exploring how autonomous robots can relieve humans of repetitive tasks across varied real-world environments. With a growing citation profile, Trabert's interdisciplinary work sits at a compelling intersection of embedded hardware design, radar signal processing, and practical robotics deployment.

Research Focus

Key Achievements

3
H-Index
5
Papers
58
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Stocktaking Robots, Automatic Inventory, and 3D Product Maps: The Smart Warehouse Enabled by UHF-RFID Synthetic Aperture Localization Techniques
28 citations · 2021
📈 Most Prolific Year: 2022 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: MetraLabs (Germany)

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago