Real-Time Autonomous Robot Navigation Using VLSI Neural Networks
Abstract
We describe a real time robot navigation system based on three VLSI neural network modules. These are a resistive grid for path planning, a nearest-neighbour classifier for localization using range data from a time(cid:173) of-flight infra-red sensor and a sensory-motor associative network for dy(cid:173) namic obstacle avoidance .
Cite
Text
Tarassenko et al. "Real-Time Autonomous Robot Navigation Using VLSI Neural Networks." Neural Information Processing Systems, 1990.Markdown
[Tarassenko et al. "Real-Time Autonomous Robot Navigation Using VLSI Neural Networks." Neural Information Processing Systems, 1990.](https://mlanthology.org/neurips/1990/tarassenko1990neurips-realtime/)BibTeX
@inproceedings{tarassenko1990neurips-realtime,
title = {{Real-Time Autonomous Robot Navigation Using VLSI Neural Networks}},
author = {Tarassenko, Lionel and Brownlow, Michael and Marshall, Gillian and Tombs, Jan and Murray, Alan},
booktitle = {Neural Information Processing Systems},
year = {1990},
pages = {422-428},
url = {https://mlanthology.org/neurips/1990/tarassenko1990neurips-realtime/}
}