Yannick Wunderle

Papers

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About

Yannick Wunderle is a pioneering researcher in autonomous mobile robot (AMR) safety, focusing on sensor fusion and object detection for industrial and urban environments. His work addresses a critical challenge: enabling heavy-load AMRs to operate safely alongside human workers, both indoors and outdoors. Wunderle’s most cited paper, “Sensor fusion for functional safety of autonomous mobile robots in urban and industrial environments” (2022, 3 citations), introduces a novel approach that integrates multiple sensor modalities—such as laser scanners and ultrasonic sensors—to create redundant, fail-safe perception systems. This work overcomes the limitations of traditional safety laser scanners, which only provide binary stop signals, by enabling continuous, context-aware monitoring. His follow-up study, “Ultrasonic Object Detection and Classification for AMR Safety” (2024, 1 citation), advances this concept by demonstrating how ultrasonic sensors can classify objects (e.g., humans vs. obstacles), paving the way for safer outdoor AMR deployment. Wunderle’s contributions are vital for industries seeking to automate material flow without compromising worker safety, and his research has direct implications for logistics, manufacturing, and smart city applications. His work represents a significant step toward truly autonomous, human-safe robotics.