The dynamic wave expansion neural network model for robot motion planning in time-varying environments

Lebedev DV, Steil JJ, Ritter H (2005)
Neural Networks 18(3): 267-285.

Zeitschriftenaufsatz | Veröffentlicht | Englisch
 
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DOI
Autor*in
Lebedev, Dmitry V.; Steil, Jochen J.UniBi; Ritter, HelgeUniBi
Einrichtung
Technische Fakultät > AG Neuroinformatik
Erscheinungsjahr
2005
Zeitschriftentitel
Neural Networks
Band
18
Ausgabe
3
Seite(n)
267-285
ISSN
0893-6080
Page URI
https://pub.uni-bielefeld.de/record/2142195

Zitieren

Lebedev DV, Steil JJ, Ritter H. The dynamic wave expansion neural network model for robot motion planning in time-varying environments. Neural Networks. 2005;18(3):267-285.
Lebedev, D. V., Steil, J. J., & Ritter, H. (2005). The dynamic wave expansion neural network model for robot motion planning in time-varying environments. Neural Networks, 18(3), 267-285. https://doi.org/10.1016/j.neunet.2005.01.004
Lebedev, Dmitry V., Steil, Jochen J., and Ritter, Helge. 2005. “The dynamic wave expansion neural network model for robot motion planning in time-varying environments”. Neural Networks 18 (3): 267-285.
Lebedev, D. V., Steil, J. J., and Ritter, H. (2005). The dynamic wave expansion neural network model for robot motion planning in time-varying environments. Neural Networks 18, 267-285.
Lebedev, D.V., Steil, J.J., & Ritter, H., 2005. The dynamic wave expansion neural network model for robot motion planning in time-varying environments. Neural Networks, 18(3), p 267-285.
D.V. Lebedev, J.J. Steil, and H. Ritter, “The dynamic wave expansion neural network model for robot motion planning in time-varying environments”, Neural Networks, vol. 18, 2005, pp. 267-285.
Lebedev, D.V., Steil, J.J., Ritter, H.: The dynamic wave expansion neural network model for robot motion planning in time-varying environments. Neural Networks. 18, 267-285 (2005).
Lebedev, Dmitry V., Steil, Jochen J., and Ritter, Helge. “The dynamic wave expansion neural network model for robot motion planning in time-varying environments”. Neural Networks 18.3 (2005): 267-285.

6 Zitationen in Europe PMC

Daten bereitgestellt von Europe PubMed Central.

Recurrent Spiking Networks Solve Planning Tasks.
Rueckert E, Kappel D, Tanneberg D, Pecevski D, Peters J., Sci Rep 6(), 2016
PMID: 26888174
Motion planning for autonomous vehicle based on radial basis function neural network in unstructured environment.
Chen J, Zhao P, Liang H, Mei T., Sensors (Basel) 14(9), 2014
PMID: 25237902
Rapid, parallel path planning by propagating wavefronts of spiking neural activity.
Ponulak F, Hopfield JJ., Front Comput Neurosci 7(), 2013
PMID: 23882213
Neural network architecture for cognitive navigation in dynamic environments.
Villacorta-Atienza JA, Makarov VA., IEEE Trans Neural Netw Learn Syst 24(12), 2013
PMID: 24805224
Real-time robot path planning based on a modified pulse-coupled neural network model.
Qu H, Yang SX, Willms AR, Yi Z., IEEE Trans Neural Netw 20(11), 2009
PMID: 19775961
Real-time robot path planning via a distance-propagating dynamic system with obstacle clearance.
Willms AR, Yang SX., IEEE Trans Syst Man Cybern B Cybern 38(3), 2008
PMID: 18558550

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