The dynamic wave expansion neural network model for robot motion planning in time-varying environments-Reference-Cited by-同舟云学术

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

Published:2005-04 Issue:3 Volume:18 Page:267-285
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Lebedev Dmitry V.,Steil Jochen J.,Ritter Helge J.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference60 articles.

1. Neural network implementation for the optimal path problem;Agreev;Journal of Computer and System Sciences International,1998

2. Alvarez, D., Alvarez, J. C., & González, R. C. (2003). Online motion planning using Laplace potential fields. In Proceedings of IEEE international conference on robotics and automation (pp. 3347–3352). Taipei, Taiwan: IEEE.

3. Arbuckle, D., Howard, A., & Materić, M. J. (2002). Temporal occupancy grids: A method for classifying spatio-temporal properties of the environment. In Proceedings of IEEE/RSJ international conference on intelligent robots and systems (pp. 409–414). Lausanne, Switzerland: IEEE.

4. A random sampling scheme for path planning;Barraquand;International Journal of Robotics Research,1997

5. Robot motion planning: A distributed representation approach;Barraquand;International Journal of Robotics Research,1991

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