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About

Martin Wermelinger is a pioneering robotics researcher whose work spans autonomous construction, legged robot navigation, and robotic manipulation — fields where his contributions have garnered over 670 citations and demonstrated real-world transformative impact. Wermelinger's most influential work bridges the gap between controlled laboratory robotics and the unpredictable complexity of real-world environments. His 2019 letter on data-driven model predictive control (235 citations) advanced high-precision trajectory tracking for compliant robotic arms, offering a critical solution for cost-effective systems that lack industrial-grade hardware. Equally impactful is his navigation planning framework for legged robots in challenging terrain (283 combined citations across two venues), which elegantly balances computational tractability with the unique obstacle-negotiation capabilities of legged systems. Perhaps most distinctive is Wermelinger's sustained focus on autonomous construction robotics. From autonomous stone stacking with irregular, on-site materials to the remarkable HEAP walking excavator project — a fully autonomous construction machine — his research addresses urgent real-world needs around worker safety, sustainability, and labor efficiency. His 2023 integrated excavation-and-construction pipeline represents a culmination of this vision. Across his career, Wermelinger has consistently pushed robotics beyond controlled settings, proving that intelligent autonomous systems can operate meaningfully in the messy, unstructured environments where construction and fieldwork actually happen.