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ARCS
2005
Springer
14 years 1 months ago
Adaptive Object Acquisition
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
Gabriele Peters, Claus-Peter Alberts, Markus Bries...
EUROS
2008
113views Robotics» more  EUROS 2008»
13 years 9 months ago
Measuring Motion Expressiveness in Wheeled Mobile Robots
This paper addresses the measurement of motion expressiveness in wheeled mobile robots. A neural network based supervised learning strategy is proposed as a method to fuse informat...
João Sequeira
MIRRORBOT
2005
Springer
154views Robotics» more  MIRRORBOT 2005»
14 years 1 months ago
Spatial Representation and Navigation in a Bio-inspired Robot
Abstract. A biologically inspired computational model of rodent representation–based (locale) navigation is presented. The model combines visual input in the form of realistic tw...
Denis Sheynikhovich, Ricardo Chavarriaga, Thomas S...
ESANN
2001
13 years 9 months ago
A divide-and-conquer learning architecture for predicting unknown motion
Time varying environments or model selection problems lead to crucial dilemmas in identification and control science. In this paper, we propose a modular prediction scheme consisti...
Patrice Wira, Jean-Philippe Urban, Julien Gresser
CVPR
2005
IEEE
14 years 1 months ago
A Discriminative Framework for Modelling Object Classes
Here we explore a discriminative learning method on underlying generative models for the purpose of discriminating between object categories. Visual recognition algorithms learn m...
Alex Holub, Pietro Perona