Publications related to Bayesian Optimization Meets Riemannian Manifolds in Robot Learning

An Exploration of Online Parallel Learning in Heterogeneous Multi-Robot Swarms

Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques which allow robots to evolve their own controllers online in an automated fashion. In mult ...

Springer2008

Optimal control of geodesics in Riemannian manifolds

Roland Rozsnyo

The aim of this dissertation is to solve numerically the following problem, denoted by P : given a Riemannian manifold and two points a and b belonging to that manifold, find a tangent vector T at a, such that expa(T) = b, assuming that T exists. This prob ...

EPFL2007

Parallel Learning in Heterogeneous Multi-Robot Swarms

Alcherio Martinoli, James Pugh

Designing effective behavioral controllers for mobile robots can be difficult and tedious; this process can be circumvented by using unsupervised learning techniques which allow robots to evolve their own controllers in an automated fashion. In multi-robot ...

2007

Orthogonal Neighborhood Preserving Projections: A projection-based dimensionality reduction technique

Effrosyni Kokiopoulou

This paper considers the problem of dimensionality reduction by orthogonal projection techniques. The main feature of the proposed techniques is that they attempt to preserve both the intrinsic neighborhood geometry of the data samples and the global geome ...

2007

Optimisation de la conception du robot parallèle Delta cube de très haute précision

Tiavina Niaritsiry

In the high-precision industry, most operations require the use of robots able to accomplish highly accurate and repeatable motions. In order to meet the desired level of absolute accuracy, one has to limit or even suppress the effects of different sources ...

EPFL2006

Laplacian Operator, Diffusion Flow and Active Contour on non-Euclidean Images

Jean-Philippe Thiran, Pierre Vandergheynst, Xavier Bresson, Iva Bogdanova Vandergheynst

We propose here some basic approaches to direct processing of the

360^o

-images as we take into consideration the geometry of each one. Obviously, the geometry of each of these images is a consequence of the geometry of the sensor's mirror used. This tech ...

2005

Gravitating field-theoretical branes and their excitations

Katarzyna Zuleta Estrugo

This thesis is devoted to studying field-theoretical branes in warped geometries, with emphasis on brane excitations and properties of background solutions. Firstly, we examine the features of a model in which our universe is represented by a local string- ...

EPFL2005

Global regularity of wave maps from $R^{3+1}$ to surfaces

Joachim Krieger

We consider Wave Maps with smooth compactly supported initial data of small (H) over dot (3/2)-norm from R3+1 to certain 2-dimensional Riemannian manifolds and show that they stay smooth globally in time. Our methods are based on the introduction of a glob ...

Springer Verlag2003

Parameterized hysteresis model for high-temperature superconductors

Bertrand Dutoit, Marten Sjöström

High-temperature superconductors (HTS) exhibit hysteresis, which is the main cause for losses in the subcritical domain. This behavior is well predicted by Bean's critical-state model, which is a subset of the classical Preisach model. We present a paramet ...

2000

Estimation of current bypass in a bipolar electrode stack

Christos Comninellis

A simple method is proposed for the estn. of the current bypass from exptl. current potential (i-U) curves measured for a bipolar reactor and with a one element cell of similar geometry. The model is valid only in the region where a linear i-U relation was ...

1994

Bayesian Optimization Meets Riemannian Manifolds in Robot Learning

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An Exploration of Online Parallel Learning in Heterogeneous Multi-Robot Swarms

Optimal control of geodesics in Riemannian manifolds

Parallel Learning in Heterogeneous Multi-Robot Swarms

Orthogonal Neighborhood Preserving Projections: A projection-based dimensionality reduction technique

Optimisation de la conception du robot parallèle Delta cube de très haute précision

Laplacian Operator, Diffusion Flow and Active Contour on non-Euclidean Images

Gravitating field-theoretical branes and their excitations

Global regularity of wave maps from $R^{3+1}$ to surfaces

Parameterized hysteresis model for high-temperature superconductors

Estimation of current bypass in a bipolar electrode stack

Orthogonal Neighborhood Preserving Projections: A projection-based dimensionality reduction technique

Optimisation de la conception du robot parallèle Delta cube de très haute précision

Laplacian Operator, Diffusion Flow and Active Contour on non-Euclidean Images

Global regularity of wave maps from $R^{3+1}$ to surfaces

Gravitating field-theoretical branes and their excitations

An Exploration of Online Parallel Learning in Heterogeneous Multi-Robot Swarms

Optimal control of geodesics in Riemannian manifolds

Parallel Learning in Heterogeneous Multi-Robot Swarms

Parameterized hysteresis model for high-temperature superconductors

Estimation of current bypass in a bipolar electrode stack