Papers
7
Total Citations
546
H-Index
6
About
Claire Dumas is a leading researcher in industrial robotics, specializing in the stiffness modeling, calibration, and optimization of serial robots for high-precision manufacturing. Her major contributions center on developing methodologies to identify joint stiffness in six-revolute industrial robots, enabling accurate prediction of end-effector displacements under external loads—critical for machining tasks traditionally reserved for CNC machine tools. Her seminal 2011 paper, "Joint stiffness identification of six-revolute industrial serial robots," has garnered 334 citations, underscoring its foundational impact on robotic accuracy and rigidity. Dumas also pioneered workpiece placement optimization, demonstrating how strategic positioning can enhance machining performance with robots like the KUKA KR270-2, as seen in her 2013 work with 60 citations. Her research extends to composite trimming and finishing operations, addressing economic challenges in metal and composite part manufacturing. Notably, her work on identifying geometrical and elastostatic parameters of heavy industrial robots, including those with gravity compensators, has advanced calibration accuracy. Dumas’s contributions bridge the gap between robotic flexibility and machine-tool precision, making her a key figure in the evolution of robotic machining for industrial applications.
Research Focus
Key Achievements
Top Papers
- 1Joint stiffness identification of six-revolute industrial serial robots334 citations · 2011
- 2Joint stiffness identification of industrial serial robots110 citations · 2011
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- 5Développement d’une cellule robotisée de détourage des composites13 citations · 2011
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