Sebastian Gomez-Gonzalez — accepted AI-conference papers

2020

Bayesian Online Prediction of Change Points

Diego Agudelo-España, Sebastian Gomez-Gonzalez, Stefan Bauer, Bernhard Schölkopf, Jan Peters

UAI 2020poster

Online detection of instantaneous changes in the generative process of a data sequence generally focuses on retrospective inference of such change points without considering their future occurrences. We extend the Bayesian Online Change Point Detection algorithm to also infer the number of time step…

Cited by 43 Source ↗PDF ↗code ↗Scholar ↗

2019

Improving Local Trajectory Optimisation using Probabilistic Movement Primitives

RB Ashith Shyam, Peter Lightbody, Gautham Das, Pengcheng Liu, Sebastian Gomez-Gonzalez, Gerhard Neumann

IROS 2019poster

Local trajectory optimisation techniques are a powerful tool for motion planning. However, they often get stuck in local optima depending on the quality of the initial solution and consequently, often do not find a valid (i.e. collision free) trajectory. Moreover, they often require fine tuning of a…

Cited by 47 Source ↗Scholar ↗