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Evolutionary Active Vision Toward Three Dimensional Landmark-Navigation

Publications associées (44)

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The relation between body semantics and spatial body representations

Olaf Blanke, Michiel van Elk

The present study addressed the relation between body semantics (i.e. semantic knowledge about the human body) and spatial body representations, by presenting participants with word pairs, one below the other, referring to body parts. The spatial position ...

Elsevier2011

Active Vision for Goal-Oriented Humanoid Robot Walking

Dario Floreano, Mototaka Suzuki

Complex visual tasks may be tackled with remarkably simple neural architectures generated by a co-evolutionary process of active vision and feature selection. This hypothesis has recently been tested in several robotic applications such as shape discrimina ...

Springer-Verlag2009

Enactive robot vision

Mototaka Suzuki

The complexity of today's autonomous robots poses a major challenge for Artificial Intelligence. These robots are equipped with sophisticated sensors and mechanical abilities that allow them to enter our homes and interact with humans. For example, today's ...

EPFL2007

Spatial navigation in geometric mazes

Navigation is defined as the capability of planning and performing a path from the current position towards a desired location. Different types, or strategies, of navigation are used by animals depending on the task they are trying to solve. Visible goals ...

EPFL2007

Analyse du contexte à l'aide de méthodes probabilistes pour l'interaction hommes-robots

Guy Ramel

Mobile robots are gradually appearing in our daily environments. In order to autonomously navigate in real world environments and interact with objects and humans, robots are facing various major technological challenges. Among the required key competences ...

EPFL2006

Towards a Cognitive Probabilistic Representation of Space for Mobile Robots

Roland Siegwart

Robots are rapidly evolving from factory workhorses to robot-companions. The future of robots, as our companions, is highly dependent on their abilities to understand, interpret and represent the environment in an efficient and consistent fashion, in a ...

2006

Spatial learning and navigation in the rat

Ricardo Andres Chavarriaga Lozano

Animals behave in different ways depending on the specific task they are required to solve. In certain cases, if a cue marks the goal location, they can rely on simple stimulusresponse associations. In contrast, other tasks require the animal to be endowed ...

EPFL2005

Active Vision and Receptive Field Development in Evolutionary Robots

Dario Floreano, Claudio Mattiussi, Mototaka Suzuki

In this paper, we describe the artificial evolution of adaptive neural controllers for an outdoor mobile robot equipped with a mobile camera. The robot can dynamically select the gazing direction by moving the body and/or the camera. The neural control sys ...

2005

Robust self-localisation and navigation based on hippocampal place cells

Wulfram Gerstner, Ricardo Andres Chavarriaga Lozano, Thomas Strösslin

A computational model of the hippocampal function in spatial learning is presented. A spatial representation is incrementally acquired during exploration. Visual and self-motion information is fed into a network of rate-coded neurons. A consistent and stab ...

Elsevier2005

Topological SLAM

Adriana Tapus

This thesis is about topological navigation, more precisely about space representation, perception, localization and mapping. All these elements are needed in order to obtain a robust and reliable framework for navigation. This is essential in order to mov ...

EPFL2005