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Verovatnosna mapa puta

Metoda verovatnosne mape puta (PRM) je algoritam za planiranje kretanja koji konstruiše unapred izgrađeni graf (mapu puta) izvodljivih putanja kroz konfiguracioni prostor, uzorkovanjem nasumičnih konfiguracija i njihovim povezivanjem ako su bez kolizije. Uvedena od strane Kavraki et al. 1996. godine, PRM je moćna za scenarije planiranja sa više upita gde se odgovara na mnoge upite o putanjama, amortizujući troškove konstrukcije mape puta kroz mnoge upite.

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Izvori

  1. Kavraki, L. E., Svestka, P., Latombe, J. C., & Overmars, M. H. (1996). Probabilistic roadmaps for path planning in high-dimensional configuration spaces. IEEE Transactions on Robotics and Automation, 12(4), 566-580. DOI: 10.1109/70.508439
  2. Overmars, M. H., & Svestka, P. (1992). A probabilistic learning approach to motion planning. Proceedings of the Fourth Workshop on Algorithmic Foundations of Robotics, 19-37. link
  3. LaValle, S. M. (2006). Planning Algorithms. Cambridge University Press. link

Kako citirati ovu stranicu

ScholarGate. (2026, June 3). Probabilistic Roadmap. ScholarGate. https://scholargate.app/sr/control-theory/probabilistic-roadmap

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Citirana u

ScholarGateProbabilistic Roadmap (Probabilistic Roadmap). Preuzeto 2026-06-15 sa https://scholargate.app/sr/control-theory/probabilistic-roadmap · Skup podataka: https://doi.org/10.5281/zenodo.20539026