Philippe Guglielmetti

École Polytechnique Fédérale de Lausanne

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About

Philippe Guglielmetti is a pioneering roboticist whose work has fundamentally shaped the understanding and control of parallel kinematic machines. His primary research areas span inverse dynamics, task-space control, and real-time system identification for robotic manipulators. Guglielmetti’s most significant contribution is his 1994 paper, "A closed form inverse dynamics model of the delta parallel robot," which has garnered 37 citations and remains a cornerstone for engineers designing high-speed, precise Delta robots. This work provided a mathematically elegant solution to a notoriously complex problem, enabling more efficient motion planning and control. His earlier 1992 study on task-space control of the Delta robot further advanced the field by demonstrating how to directly command the end-effector’s motion, bypassing cumbersome joint-level calculations. Additionally, his 2005 exploration of neural network approaches for real-time robot identification showcased his forward-thinking integration of machine learning into robotics. Through these contributions, Guglielmetti has left an indelible mark on parallel robotics, offering foundational tools that continue to inspire both academic research and industrial applications.