Maureen Reiner

Papers

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About

Maureen Reiner’s research centers on the modeling and control of elastic robotic systems, with a particular focus on structural and power-train flexibilities. Her most-cited work, “Modeling and Feed-Forward Control of Structural Elastic Robots” (2010), introduces a systematic approach using object-oriented, nonlinear models developed in the Modelica language to capture complex elastic behaviors. Through system-theoretical analysis and experimental verification, Reiner demonstrates how feed-forward control can effectively compensate for structural deformations, enhancing precision in robotic manipulation. While her citation count remains modest, her contributions are foundational for researchers tackling lightweight, flexible robot designs—a critical area for safe human-robot interaction and energy-efficient automation. Reiner’s work bridges the gap between detailed physical modeling and practical control implementation, offering a reproducible framework that has informed subsequent studies in compliant robotics. Her achievements highlight the importance of rigorous model-based design in advancing the performance and reliability of next-generation robotic systems.