Julian Schmiemann

Papers

Total Citations

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About

Julian Schmiemann is a robotics researcher specializing in multi-robot systems, 3D-LiDAR mapping, and communication architectures for autonomous platforms. His work focuses on enabling robust, real-time perception and coordination in complex environments, particularly for disaster response applications. Schmiemann’s most cited paper, “A Distributed Online 3D-LiDAR Mapping System” (2017, 6 citations), presents a highly automated robotic system developed under the ANKommEn project for fast data acquisition in civil disaster scenarios, emphasizing versatility and distributed processing. He also contributed to “Development of an Adaptable Communication Layer with QoS Capabilities for a Multi-Robot System” (2017, 3 citations), addressing critical challenges in reliable inter-robot data exchange. His research bridges theoretical advances in sensor fusion and networked robotics with practical deployment in hazardous settings. While his citation counts reflect a focused, early-career impact, Schmiemann’s work is foundational for resilient multi-robot operations in GPS-denied or chaotic environments. His contributions are particularly relevant for researchers in field robotics, emergency response technology, and distributed autonomous systems.