About

Daniel Condurache is a leading researcher in theoretical and applied kinematics, with a primary focus on dual and multi-dual algebra methods for solving complex problems in robotics, sensor calibration, and aerospace engineering. His most influential contribution is the orthogonal dual tensor method for solving the AX = XB sensor calibration problem (81 citations), which has become a cornerstone technique in robotics and computer vision. Condurache has further advanced this field by developing novel solutions using dual Lie algebra for the AX = YB problem and introducing a Davenport dual angles approach for minimal parameterization of rigid body motion. His work extends to practical applications, including the mathematical modeling of LegUp, a parallel robotic system for lower limb rehabilitation of bedridden patients, and the kinematic analysis of an innovative modular parallel robot for pancreatic surgery. Condurache’s research also addresses foundational challenges such as the iterative closest point problem and the extended Wahba’s problem in dual and multi-dual algebras, which are critical for spacecraft attitude estimation. With over 137 total citations and a growing portfolio of high-impact papers, Condurache’s work bridges abstract algebraic theory and real-world engineering challenges.

Research Focus

Key Achievements

5
H-Index
7
Papers
137
Total Citations
20
Avg Citations/Paper
🏆 Most Cited Paper
Orthogonal dual tensor method for solving the A X = X B sensor calibration problem
81 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 14
🏛 Institutions: National Institute of Research and Development for Technical Physics, Academia Oamenilor de Știință din România, Gheorghe Asachi Technical University of Iași, Technical University of Cluj-Napoca

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
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