Soccer Playing Robot Goal Scoring Algorithm Using Fuzzy Petri nets

10 pages•Published: March 9, 2020

Paul Brodhead, Garrett Hope and Seung-yun Kim

Abstract

To facilitate the creation of a robotic soccer team, a robust kicking strategy and algorithm must be developed. Through the use of Fuzzy Petri nets, a strategy was made and developed into an algorithm to produce a 95% success rate. Image processing and recognition was used to implement this algorithm onto NAO robots.

Keyphrases: fuzzy petri nets, image processing, modeling and simulation, petri nets

In: Gordon Lee and Ying Jin (editors). Proceedings of 35th International Conference on Computers and Their Applications, vol 69, pages 317-326.

Links:	https://easychair.org/publications/paper/7JTH
	https://doi.org/10.29007/rgnk

BibTeX entry

@inproceedings{CATA2020:Soccer_Playing_Robot_Goal,
  author    = {Paul Brodhead and Garrett Hope and Seung-yun Kim},
  title     = {Soccer Playing Robot Goal Scoring Algorithm Using Fuzzy Petri nets},
  booktitle = {Proceedings of 35th International Conference on Computers and Their Applications},
  editor    = {Gordon Lee and Ying Jin},
  series    = {EPiC Series in Computing},
  volume    = {69},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/7JTH},
  doi       = {10.29007/rgnk},
  pages     = {317-326},
  year      = {2020}}

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