Papers
41
Total Citations
1,205
H-Index
18
About
David Daney is a prominent robotics researcher whose work spans parallel robot mechanics, kinematic calibration, cable-driven systems, and interval-based computational methods. Based at INRIA, his research has fundamentally advanced the precision and reliability of complex robotic systems, with particular focus on parallel robots such as the Gough platform. Daney's most influential contribution — garnering over 240 citations — introduced interval analysis techniques to determine the wrench-feasible workspace of cable-driven parallel robots, providing a rigorous mathematical framework for workspace characterization that has become a cornerstone reference in the field. His extensive work on kinematic calibration, including robust algorithms for Gough platforms and vision-based interval methods, has significantly improved how researchers and engineers optimize manipulator accuracy under real-world uncertainty. His 2005 paper on measurement pose selection using tabu search, cited over 140 times, addressed a critical practical challenge in robot calibration methodology. Beyond classical parallel robotics, Daney contributed to minimally invasive surgical robotics through a modular endoluminal robotic system concept, demonstrating the broad applicability of his expertise. His integration of constraint programming and interval arithmetic into dimensional synthesis and collision checking further highlights his mathematically rigorous, safety-conscious approach — making his body of work essential reading for researchers in robot design, calibration, and workspace analysis.
Research Focus
Key Achievements
Top Papers
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- 4Interval method for calibration of parallel robots: Vision-based experiments71 citations · 2006
- 5Kinematic calibration of the Gough Platform61 citations · 2003
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- 9Robust parallel robot calibration with partial information40 citations · 2002
- 10Calibration of a Fully-Constrained Parallel Cable-Driven Robot36 citations · 2013