2XUEMIN SUN,SHUHUA LIUoXUE YANG. A method of map building for robots in unknown indoor environments [C]. In Pro- ceeding of the 10th World Congress on Intelligent Control and Au- tomalion ,2012.
1Jaeger H. The "echo state" approach to analysing and training recurrent neural networks[R]. St. Augustin, Germany: German National Research Institute for Computer Science, 2001.
2Jaeger H, Haas H. Harnessing nonlinearity: Predicting chaotic systems and saving energy in wireless communication[J]. Science, 2004, 304(5667): 78-80.
3Lukosevicius M, Jaeger H. Reservoir computing approaches to recurrent neural network training[J]. Computer Science Review, 2009, 3(3): 127-149.
4Verstraeten D. Reservoir computing: Computation with dynamical systems[D]. Gent, Belgium: Ghent University, 2009.
5Jaeger H. Tutorial on training recurrent neural networks, covering BPPT, RTRL, EKF and the "echo state network" approach[R]. St. Augustin, Germany: German National Research Center for Information Technology, 2002.
6Ren X Y, Kuhlenkotter B. Real-time simulation and visualization of robotic belt grinding processes[J]. International Journal of Advanced Manufacturing Technology, 2008, 35(11): 1090- 1099.
7Johnson K L. Contact mechanics[M]. Cambridge, UK: Cambridge University Press, 1987.
8Kordic V, Lazinica A, Merdan M. Cutting edge robotics[M]. Mammendorf, Germany: Pro Literatur Verlag, 2005.
9Hammann G. Modellierung des abtragsverhaltens elastischer roboter-gefuehrter schleifwerkzeuge[D]. Stuttgart, Germany: University Stuttgart, 1998.
10Schuppstuhl T. Beitrag zum bandschleifen komplexer freiformgeometrien mit dem industrieroboter[D]. Dortmund, Germany: University Dortmund, 2003.
