Patrick Gerland

Papers

Total Citations

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About

Patrick Gerland’s research focuses on the dynamic modeling and parameter identification of robotic systems, with a particular emphasis on parallel robot manipulators. His major contributions lie in developing systematic procedures for estimating load inertia parameters, which are critical for precise control and performance optimization in robotics. In his 2004 paper, “A Systematic Load Identification Procedure for Parallel Robot Manipulators,” Gerland introduced a method to treat load estimation as a regular dynamic robot identification problem, addressing the challenge of estimating parameters based solely on platform measurements. This work, along with his complementary study “On the Load Inertia Parameter Estimation of a Class of Parallel Robots,” has laid foundational groundwork for improving the accuracy and efficiency of parallel robot operations. While his citation counts are modest—4 and 2 respectively—these papers represent early, specialized contributions to a niche area of robotics, offering practical solutions for real-world applications. Gerland’s work is particularly notable for its rigorous approach to handling the complexities of load dynamics in parallel mechanisms, making it a valuable reference for researchers and students delving into robot control and identification.