Ilaria Lauzana

École Polytechnique Fédérale de Lausanne

Papers

Total Citations

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About

Ilaria Lauzana is a roboticist whose research lies at the intersection of manipulation, dynamical systems, and benchmarking. Her most cited work, "Benchmark for Bimanual Robotic Manipulation of Semi-Deformable Objects" (2020, 37 citations), addresses a critical gap in robotics by proposing a standardized evaluation protocol for dual-arm systems handling objects that are neither rigid nor fully deformable. Inspired by real-world tasks like watchmaking and automobile belt assembly, this benchmark provides two distinct setups that highlight the unique challenges of semi-deformable manipulation. In parallel, her work "Learning dynamical systems with bifurcations" (2020, 19 citations) tackles a fundamental problem in robot control: unifying the mathematical frameworks for rhythmic and point-to-point motion. By enabling a single dynamical system to naturally transition between these behaviors, Lauzana's research offers a more elegant and robust alternative to traditional switching controllers. Her contributions are particularly valuable for advancing robotic dexterity in manufacturing and assembly contexts, where both precision and adaptability are required. Through these efforts, Lauzana is helping to establish the foundational tools and benchmarks needed to push bimanual manipulation toward practical, real-world applications.