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» Robot Docking Using Mixtures of Gaussians
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TFS
2008
131views more  TFS 2008»
14 years 9 months ago
A Fuzzy Qualitative Framework for Connecting Robot Qualitative and Quantitative Representations
Abstract-- This paper proposes a novel framework for describing articulated robot kinematics motion with the goal of providing a unified representation by combining symbolic or qua...
Honghai Liu
ICRA
2006
IEEE
149views Robotics» more  ICRA 2006»
15 years 3 months ago
On Learning the Statistical Representation of a Task and Generalizing it to Various Contexts
— This paper presents an architecture for solving generically the problem of extracting the constraints of a given task in a programming by demonstration framework and the problem...
Sylvain Calinon, Florent Guenter, Aude Billard
HRI
2007
ACM
15 years 1 months ago
Incremental learning of gestures by imitation in a humanoid robot
We present an approach to teach incrementally human gestures to a humanoid robot. The learning process consists of first projecting the movement data in a latent space and encodin...
Sylvain Calinon, Aude Billard
UAI
2003
14 years 11 months ago
Bayesian Hierarchical Mixtures of Experts
The Hierarchical Mixture of Experts (HME) is a well-known tree-structured model for regression and classification, based on soft probabilistic splits of the input space. In its o...
Christopher M. Bishop, Markus Svensén
NIPS
2008
14 years 11 months ago
Local Gaussian Process Regression for Real Time Online Model Learning
Learning in real-time applications, e.g., online approximation of the inverse dynamics model for model-based robot control, requires fast online regression techniques. Inspired by...
Duy Nguyen-Tuong, Matthias Seeger, Jan Peters