A Sensory Uncertainty Field Model for Unknown and Non-stationary Mobile Robot Environments

Vlassis, Nikos; Tsanakas, P.

No full text

Paper published in a book (Scientific congresses, symposiums and conference proceedings)

A Sensory Uncertainty Field Model for Unknown and Non-stationary Mobile Robot Environments

Vlassis, Nikos; Tsanakas, P.

1998 • In Proc. IEEE Int. Conf. on Robotics and Automation

Peer reviewed

Permalink
https://hdl.handle.net/10993/11090

Files (0)Send to Details Statistics Bibliography Similar publications

Files

Full Text

No document available.

Send to

RIS BibTex APA Chicago Permalink X Linkedin

Details

Disciplines :

Computer science

Author, co-author :

Vlassis, Nikos ; University of Luxembourg > Luxembourg Centre for Systems Biomedicine (LCSB)

Tsanakas, P.

Language :

English

Title :

A Sensory Uncertainty Field Model for Unknown and Non-stationary Mobile Robot Environments

Publication date :

1998

Event name :

Proc. IEEE Int. Conf. on Robotics and Automation

Event date :

1998

Main work title :

Proc. IEEE Int. Conf. on Robotics and Automation

Peer reviewed :

Peer reviewed

Available on ORBilu :

since 17 November 2013

Statistics

Number of views

26 (0 by Unilu)

Number of downloads

0 (0 by Unilu)

More statistics

Scopus citations^®

Scopus citations^®
without self-citations

Bibliography

F. Aurenhammer. Voronoi diagrams-a survey of a fundamental geometric data structure. ACM Computer Surveys, 23:345-405, 1991.
M. Bern and D. Eppstein. Computing in Euclidean Geometry, pages 47-123. World Scientific, 2nd edition, 1995. Du, D.-Z., Hwang, F. K. (eds.).
J. Borenstein, B. Everett, and L. Feng. Navigating Mobile Robots: Systems and Techniques. A. K. Peters, Ltd, Wellesley, MA, 1996.
J. L. Crowley. Mathematical foundations of navigation and perception for an autonomous mobile robot. In Tutorial at the Workshop on Reasoning with Uncertainty in Robotics, University of Amsterdam, The Netherlands, Dec. 1995.
A. H. Dekker and P. K. Piggott. Robot learning with neural self-organization. In Proc. of Robots for Australian Industries, National Conference of the Australian Robot Association, pages 369-381. Australian Robot Association, 1995.
J. Heikkonen and E. Oja. Self-organizing maps for visually guided collision-free navigation. In Proc. Int. Joint Conf. on Neural Networks, IJCNN'93, pages 669-672, Nagoya, Japan, Oct. 1993.
J. A. Janet, R. Gutierrez-Osuna, T. A. Chase, M. White, and R. C. Luo. Global self-localization for autonomous mobile robots using self-organizing Kohonen neural networks. In Proc. IEEE Int. Conf. on Intelligent Robots and Systems, Pittsburg, USA, 1995.
T. Kohonen. The self-organizing map. Proceedings of the IEEE, 78(9):1464-1480, Sept. 1990.
B. J. A. Krose and M. Eecen. A self-organizing representation of sensor space for mobile robot navigation. In Proc. IEEE/RSJ/GI Int. Conf. on Intelligent Robots and Systems, volume 1, pages 9-14, New York, NY, USA, 1994. Dept. of Math., Comput. Sci., Amsterdam Univ., Netherlands, IEEE.
A. Kurz. Building maps for path-planning and navigation using learning classification of external sensor data. In I. Aleksander and J. Taylor, editors, Artificial Neural Networks, 2, volume I, pages 587-590, Amsterdam, Netherlands, 1992. North-Holland.
J. C. Latombe. Robot Motion Planning. Cluwer Academic Publishers, Boston, MA, 1991.
A. Lazanas and J.-C. Latombe. Landmark-based robot navigation. Algorithmica, 13:472-501, 1995.
U. Nehmzow and T. Smithers. Location recognition in a mobile robot using self-organizing feature maps. In J.-A. Meyer and S. W. Wilson, editors, From Animals to Animats, pages 152-159. MIT Press, Cambridge MA, 1990.
N. J. Nilsson. Principles of Artificial Intelligence. Springer-Verlag, New York, 1980.
B. D. Ripley. Pattern Recognition and Neural Networks. Cambridge University Press, Cambridge, U.K., 1996.
H. Takeda, C. Facchinetti, and J.-C. Latombe. Planning the motions of a mobile robot in a sensory uncertainty field. IEEE Trans, on Pattern Analysis and Machine Intelligence, 16(10), Oct. 1994.
H. Takeda and J.-C. Latombe. Sensory uncertainty field for mobile robot navigation. In Proc. IEEE Int. Conf. on Robotics and Automation, pages 2465-2472, Nice, France, 1992.
H. G. C. Traven. A neural network approach to statistical pattern classification by "semipara-metric" estimation of probability density functions. IEEE Transactions on Neural Networks, 2(3):366-377, May 1991.
N. A. Vlassis, A. Dimopoulos, and G. Papakon-stantinou. The probabilistic growing cell structures algorithm. In Proc. ICANN'97, 7th Int. Conf. on Artificial Neural Networks, pages 649-654, Lausanne, Switzerland, Oct. 1997.
N. A. Vlassis, G. Papakonstantinou, and P. Tsanakas. Learning the Voronoi centers of a mobile robot's configuration space. In Proc. 3rd ECPD Int. Conf. on Adv. Robotics, Intel. Automation and Act. Systems, Bremen, Germany, Sept. 1997.
N. A. Vlassis, G. Papakonstantinou, and P. Tsanakas. Robot map building by Koho-nen's self-organizing neural networks. In Proc. 1st Mobinet Symposium on Robotics for Health Care, Athens, Greece, May 1997.
N. A. Vlassis, N. M. Sgouros, G. Efthivoulidis, G. Papakonstantinou, and P. Tsanakas. Global path planning for autonomous qualitative navigation. In Proc. 8th IEEE Int. Conf. on Tools with AI, Toulouse, France, Nov. 1996.
U. R. Zimmer. Robust world-modelling and navigation in a real world. Neurocomputing, 13(2-4):241-258, 1996.
U. R. Zimmer, C. Fischer, and E. von Puttkamer. Navigation on topologic feature-maps. In Proc. 3rd Int. Conf. on Fuzzy Logic, Neural Nets and Soft Computing, pages 131-132, Iizuka, Japan, 1994. Fuzzy Logic Systems Institute.