290 citations · 681 across the 38 of their papers we have counts for
5 papers · 1 filter
Sample-Efficient and Smooth Cross-Entropy Method Model Predictive Control Using Deterministic Samples
Markus Walker, Daniel Frisch, Uwe D. Hanebeck
Cross-entropy method model predictive control (CEM--MPC) is a powerful gradient-free technique for nonlinear optimal control, but its performance is often limited by the reliance o…
Newton-Flow Particle Filters based on Generalized Cramér Distance
Uwe D. Hanebeck
We propose a recursive particle filter for high-dimensional problems that inherently never degenerates. The state estimate is represented by deterministic low-discrepancy particle…
HapticGiant: A Novel Very Large Kinesthetic Haptic Interface with Hierarchical Force Control
Michael Fennel, Markus Walker, Dominik Pikos +1
Research in virtual reality and haptic technologies has consistently aimed to enhance immersion. While advanced head-mounted displays are now commercially available, kinesthetic ha…
Efficient Gaussian Mixture Filters based on Transition Density Approximation
Ondŕej Straka, Uwe D. Hanebeck
Gaussian mixture filters for nonlinear systems usually rely on severe approximations when calculating mixtures in the prediction and filtering step. Thus, offline approximations of…
Nudged Particle Filter with Optimal Resampling Applied to the Duffing Oscillator
Ryne Beeson, Uwe Hanebeck
Efficiently solving the continuous-time signal and discrete-time observation filtering problem for chaotic dynamical systems presents unique challenges in that the advected distrib…