Yihe Chen

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About

Yihe Chen is a researcher at the forefront of safety-critical mobile robotics, with a primary focus on localization integrity and risk quantification for autonomous systems. His work addresses a fundamental challenge: ensuring that robots—from autonomous vehicles to field robots—can operate reliably in life-critical situations where localization failures could have catastrophic consequences. Chen’s major contributions include pioneering the concept of landmark augmentation for localization safety, demonstrating how strategic environmental modifications can mitigate risks without sacrificing autonomy. His 2020 paper on this topic has garnered 10 citations, establishing foundational principles for safe robot navigation. More recently, Chen has advanced the field by quantifying the integrity risk posed by unmapped associations—undetected sensor faults that can compromise localization accuracy. His 2024 paper, with 7 citations, adapts aviation-derived integrity metrics for terrestrial robots, providing a rigorous framework for assessing and managing localization safety in dynamic, unstructured environments. Through this work, Chen is helping to bridge the gap between theoretical safety guarantees and practical deployment, making him a key voice in the growing movement toward verifiably safe autonomous navigation.