Christian Lageman
Papers
1
Total Citations
26
H-Index
1
About
Christian Lageman is a mathematician whose research bridges nonsmooth optimization, Riemannian geometry, and robotics. His work focuses on developing and analyzing optimization algorithms on manifolds, particularly in settings where objective functions are not smooth—a challenging and underexplored area. His most-cited paper, "Nonsmooth Riemannian Optimization with Applications to Sphere Packing and Grasping" (2007, 26 citations), introduces novel methods for solving nonsmooth problems on Riemannian manifolds and demonstrates their practical utility in two distinct domains: sphere packing, a classic geometric optimization problem, and robotic grasping, where optimal hand configurations must be computed on curved configuration spaces. This work is notable for its theoretical rigor and direct engineering relevance, showing how abstract geometric tools can solve real-world manipulation tasks. Lageman’s contributions have helped lay the groundwork for a growing field that connects nonsmooth analysis with manifold optimization, influencing subsequent research in robotics, machine learning, and geometric control. His papers are valued for their clarity and for opening new pathways in optimization theory.
Research Focus
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Top Papers
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