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ICRA
2010
IEEE
427views Robotics» more  ICRA 2010»
13 years 7 months ago
KCT: a MATLAB toolbox for motion control of KUKA robot manipulators
— The Kuka Control Toolbox (KCT) is a collection of MATLAB functions for motion control of KUKA robot manipulators, developed to offer an intuitive and high-level programming int...
Francesco Chinello, Stefano Scheggi, Fabio Morbidi...
ICML
2000
IEEE
14 years 1 months ago
A Bayesian Framework for Reinforcement Learning
The reinforcement learning problem can be decomposed into two parallel types of inference: (i) estimating the parameters of a model for the underlying process; (ii) determining be...
Malcolm J. A. Strens
ACL
2009
13 years 6 months ago
Bayesian Unsupervised Word Segmentation with Nested Pitman-Yor Language Modeling
In this paper, we propose a new Bayesian model for fully unsupervised word segmentation and an efficient blocked Gibbs sampler combined with dynamic programming for inference. Our...
Daichi Mochihashi, Takeshi Yamada, Naonori Ueda
SAB
2004
Springer
182views Optimization» more  SAB 2004»
14 years 2 months ago
The SWARM-BOTS Project
This paper provides an overview of the SWARM-BOTS project, a robotic project sponsored by the Future and Emerging Technologies program of the European Commission. The paper illustr...
Marco Dorigo, Elio Tuci, Roderich Groß, Vito...
KI
2008
Springer
13 years 8 months ago
Learning Dance Movements by Imitation: A Multiple Model Approach
Abstract. Imitation learning is an intuitive and easy way of programming robots. Instead of specifying motor commands, you simply show the robot what to do. This paper presents a m...
Axel Tidemann, Pinar Öztürk