Miriam Lapertosa

Papers

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About

Miriam Lapertosa is a robotics researcher whose work focuses on the critical intersection of human-robot physical interaction and adaptive control. Her primary research area is variable admittance control, a method that allows robots to dynamically adjust their compliance in response to human guidance. In her most-cited work, "Goal-driven variable admittance control for robot manual guidance" (2020), Lapertosa pioneered a novel approach where the parameters of the admittance filter change not only based on the robot’s current motion state but also on the human operator’s intent. This innovation significantly improves the intuitiveness and safety of manual guidance tasks, making robots more responsive and easier to collaborate with. While her citation count is still growing, her contributions are foundational to the field of collaborative robotics, particularly in applications requiring precise, human-led manipulation. Lapertosa’s work is notable for its practical, goal-oriented design, which bridges the gap between theoretical control systems and real-world usability. Her research is essential reading for students and engineers developing next-generation robots that work safely and effectively alongside people.