Using Gaussian Processes in Bayesian Robot Programming
作者： Fidel Aznar , Francisco A. Pujol , Mar Pujol , Ramón Rizo
DOI: 10.1007/978-3-642-02481-8_79
关键词:
摘要: In this paper, we present an adaptation of Gaussian Processes for learning a joint probabilistic distribution using Bayesian Programming. More specifically, robot navigation problem will be showed as case study. addition, compared with one the most popular techniques machine learning: Neural Networks. Finally, discuss about accuracy these methods and conclude proposing some future lines research.
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sci-hub.st 参考文章(11)
F W Lewis, S. Jagannathan, A Yesildirak, Neural Network Control of Robot Manipulators and Nonlinear Systems CRC Press. ,(1998) , 10.1201/9781003062714
Christopher K I Williams, Carl Edward Rasmussen, Gaussian Processes for Machine Learning ,(2005)
Christophe Coué, Cédric Pradalier, Christian Laugier, Thierry Fraichard, Pierre Bessière, Bayesian Occupancy Filtering for Multitarget Tracking: An Automotive Application The International Journal of Robotics Research. ,vol. 25, pp. 19- 30 ,(2006) , 10.1177/0278364906061158
MATTHIAS SEEGER, Gaussian processes for machine learning. International Journal of Neural Systems. ,vol. 14, pp. 69- 106 ,(2004) , 10.1142/S0129065704001899
Gao Daqi, Li Chunxia, Yang Yunfan, Task decomposition and modular single-hidden-layer perceptron classifiers for multi-class learning problems Pattern Recognition. ,vol. 40, pp. 2226- 2236 ,(2007) , 10.1016/J.PATCOG.2007.01.002
Shrihari Vasudevan, Roland Siegwart, Bayesian space conceptualization and place classification for semantic maps in mobile robotics Robotics and Autonomous Systems. ,vol. 56, pp. 522- 537 ,(2008) , 10.1016/J.ROBOT.2008.03.005
Uli Grasemann, Daniel Stronger, Peter Stone, A Neural Network-Based Approach to Robot Motion Control robot soccer world cup. pp. 480- 487 ,(2008) , 10.1007/978-3-540-68847-1_51
M. Gori, F. Scarselli, Are multilayer perceptrons adequate for pattern recognition and verification IEEE Transactions on Pattern Analysis and Machine Intelligence. ,vol. 20, pp. 1121- 1132 ,(1998) , 10.1109/34.730549
Olivier Lebeltel, Pierre Bessière, Julien Diard, Emmanuel Mazer, Bayesian Robot Programming Autonomous Robots. ,vol. 16, pp. 49- 79 ,(2004) , 10.1023/B:AURO.0000008671.38949.43
Marcus Frean, Phillip Boyle, Dependent Gaussian Processes neural information processing systems. ,vol. 17, pp. 217- 224 ,(2004)