Non-learning artificial neural network approach to motion planning for the Pioneer robot

@article{Erickson2003NonlearningAN,
  title={Non-learning artificial neural network approach to motion planning for the Pioneer robot},
  author={D. Erickson},
  journal={Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453)},
  year={2003},
  volume={1},
  pages={112-117 vol.1}
}
  • D. Erickson
  • Published 2003
  • Computer Science
  • Proceedings 2003 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2003) (Cat. No.03CH37453)
This paper describes the implementation of a biologically-inspired non-learning artificial neural network for robot motion planning on the Pioneer 2DX robot. This motion planner fits within the Saphira operating system. The deliberative ANN motion planner is able to respond to changing situations in real time and complements the reactive behaviours. 
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