Pierre‐Olivier Vandanjon
Université Bourgogne Franche-Comté, National Institute of Transport, Centre de Robotique Intégrée d'Ile de France, Commissariat à l'Énergie Atomique et aux Énergies Alternatives, Université Gustave Eiffel, Institut de Recherche en Génie Civil et Mécanique, Centre d'Études et d'Expertise sur les Risques, l'Environnement, la Mobilité et l'Aménagement
Papers
27
Total Citations
597
H-Index
11
About
Pierre-Olivier Vandanjon is a prominent researcher specializing in robot dynamics identification, parameter estimation, and system modeling. His work has fundamentally advanced the field of industrial robot calibration, developing innovative methods that enable more accurate and robust identification of dynamic parameters — a critical challenge in robotics engineering. His most celebrated contribution, the Closed-Loop Output Error (CLOE) method, introduced in 2012 and amassing 185 citations, revolutionized how robot dynamic parameters are identified by leveraging closed-loop output error techniques rather than conventional inverse dynamic approaches. Complementing this, his 2008 DIDIM method — requiring only torque data for identification — provided a powerful alternative framework, while his instrumental variable approaches, detailed across multiple papers totaling over 150 additional citations, addressed noise sensitivity and statistical validity issues inherent in traditional least-squares identification. Vandanjon has consistently pushed methodological rigor, introducing Durbin-Wu-Hausman statistical testing to robot identification and extending techniques to flexible-joint stiffness estimation. His early spectral analysis and total least-squares contributions from 2002 laid essential groundwork for the field. With over 500 cumulative citations, his body of work remains an essential reference for researchers and engineers designing identification frameworks for modern industrial robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2A Generic Instrumental Variable Approach for Industrial Robot Identification126 citations · 2014
- 3
- 4An instrumental variable approach for rigid industrial robots identification33 citations · 2014
- 5A revised Durbin-Wu-Hausman test for industrial robot identification27 citations · 2016
- 6
- 7Identification of inertial and drive gain parameters of robots22 citations · 2002
- 8Identification of robots inertial parameters by means of spectrum analysis21 citations · 2002
- 9
- 10Joint stiffness identification from only motor force/torque data14 citations · 2011