1 citations · 1 across the 4 of their papers we have counts for
5 papers
Optimality-Informed Neural Networks for Solving Parametric Optimization Problems
Matthias K. Hoffmann, Amine Othmane, Kathrin Flaßkamp
Many engineering tasks require solving families of nonlinear constrained optimization problems, parametrized in setting-specific variables. This is computationally demanding, parti…
Reconstruction of continuum robots by marker-free shape registration of image data using a kinematic model
Matthias K. Hoffmann, Julian Mühlenhoff, Zhaoheng Ding +2
Continuum robots are slender, flexible manipulators that navigate confined, curved workspaces and are gaining traction in aerospace, inspection, automation, and minimally invasive…
Globally convergent homotopies for discrete-time optimal control
Willem Esterhuizen, Kathrin Flaßkamp, Matthias Hoffmann +1
Homotopy methods are attractive due to their capability of solving difficult optimisation and optimal control problems. The underlying idea is to construct a homotopy, which may be…
Multi-Objective Model-Predictive Control for Dielectric Elastomer Wave Harvesters
Matthias K. Hoffmann, Lennart Heib, Gianluca Rizzello +2
This contribution deals with multi-objective model-predictive control (MPC) of a wave energy converter (WEC) device concept, which can harvest energy from sea waves using a dielect…
Path Planning for Concentric Tube Robots: a Toolchain with Application to Stereotactic Neurosurgery
Matthias K. Hoffmann, Willem Esterhuizen, Karl Worthmann +1
We present a toolchain for solving path planning problems for concentric tube robots through obstacle fields. First, ellipsoidal sets representing the target area and obstacles are…