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IROS
2007
IEEE
168views Robotics» more  IROS 2007»
15 years 3 months ago
Improving humanoid locomotive performance with learnt approximated dynamics via Gaussian processes for regression
Abstract— We propose to improve the locomotive performance of humanoid robots by using approximated biped stepping and walking dynamics with reinforcement learning (RL). Although...
Jun Morimoto, Christopher G. Atkeson, Gen Endo, Go...
NN
1998
Springer
177views Neural Networks» more  NN 1998»
14 years 9 months ago
Soft vector quantization and the EM algorithm
The relation between hard c-means (HCM), fuzzy c-means (FCM), fuzzy learning vector quantization (FLVQ), soft competition scheme (SCS) of Yair et al. (1992) and probabilistic Gaus...
Ethem Alpaydin
ICRA
2003
IEEE
121views Robotics» more  ICRA 2003»
15 years 2 months ago
A comparison of Gaussian and mean curvatures estimation methods on triangular meshes
Estimating intrinsic geometric properties of a surface from a polygonal mesh obtained from range data is an important stage of numerous algorithms in computer and robot vision, co...
Tatiana Surazhsky, Evgeni Magid, Octavian Soldea, ...
78
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CVIU
2007
120views more  CVIU 2007»
14 years 9 months ago
A comparison of Gaussian and mean curvature estimation methods on triangular meshes of range image data
Estimating intrinsic geometric properties of a surface from a polygonal mesh obtained from range data is an important stage of numerous algorithms in computer and robot vision, co...
Evgeni Magid, Octavian Soldea, Ehud Rivlin
CVPR
2008
IEEE
14 years 11 months ago
Photometric stereo with coherent outlier handling and confidence estimation
In photometric stereo a robust method is required to deal with outliers, such as shadows and non-Lambertian reflections. In this paper we rely on a probabilistic imaging model tha...
Frank Verbiest, Luc J. Van Gool