Cara Watermann

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About

Cara Watermann is a researcher at the forefront of AI-enabled industrial connectivity, specializing in wireless communications for automated guided vehicles (AGVs) and sensor networks within smart manufacturing environments. Her work centers on developing and characterizing communication datasets essential for advancing industrial vehicle-to-vehicle (iV2V) and vehicle-to-infrastructure (iV2I+) systems, which are critical for the seamless operation of connected industries. Her most-cited paper, "Toward an AI-Enabled Connected Industry: AGV Communication and Sensor Measurement Datasets" (2024, 15 citations), provides detailed wireless measurement campaigns that capture sidelink communication scenarios between moving AGVs, offering invaluable data for training AI models in industrial automation. A related 2022 version of this work (3 citations) further expands these contributions, emphasizing the integration of sensor measurements. Together, these studies have established Watermann as a key contributor to the foundational datasets that enable reliable, real-time communication in Industry 4.0. Her research not only addresses critical challenges in industrial wireless networks but also provides open-access resources that empower other researchers to develop AI-driven solutions for autonomous logistics and smart factory operations.