A generic model for estimating user intentions in human-robot cooperation. - Oliver C. Schrempf; Uwe D. Hanebeck (ICINCO, 2005)

A novel approach to proactive human-robot cooperation. - Oliver C. Schrempf; Uwe D. Hanebeck; Andreas J. Schmid; Heinz Wörn (RO-MAN, 2005)

Density Approximation Based on Dirac Mixtures with Regard to Nonlinear Estimation and Filtering. - Oliver C. Schrempf; Dietrich Brunn; Uwe D. Hanebeck (CDC, 2006)

Efficient Representation and Fusion of Hybrid Joint Densities for Clusters in Nonlinear Hybrid Bayesian Networks. - Oliver C. Schrempf; Anne Hanselmann; Uwe D. Hanebeck (FUSION, 2006)

Dirac Mixture Density Approximation Based on Minimization of the Weighted Cramer-von Mises Distance. - Oliver C. Schrempf; Dietrich Brunn; Uwe D. Hanebeck (MFI, 2006)

Recursive Prediction of Stochastic Nonlinear Systems Based on Optimal Dirac Mixture Approximations. - Oliver C. Schrempf; Uwe D. Hanebeck (ACC, 2007)

Greedy algorithms for dirac mixture approximation of arbitrary probability density functions. - Uwe D. Hanebeck; Oliver C. Schrempf (CDC, 2007)

Optimal parametric density estimation by minimizing an analytic distance measure. - Anne Hanselmann; Oliver C. Schrempf; Uwe D. Hanebeck (FUSION, 2007)

A state estimator for nonlinear stochastic systems based on dirac mixture approximations. - Oliver C. Schrempf; Uwe D. Hanebeck (ICINCO-SPSMC, 2007)

Tractable probabilistic models for intention recognition based on expert knowledge. - Oliver C. Schrempf; David Albrecht; Uwe D. Hanebeck (IROS, 2007)

Stochastische Behandlung von Unsicherheiten in kaskadierten dynamischen Systemen - Oliver C. Schrempf (2008)