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Machine learningMotion Planning

Vjerojatnosna karta puta

Metoda vjerojatnosne karte puta (PRM) algoritam je za planiranje gibanja koji gradi unaprijed izračunati graf (kartu puta) izvedivih putanja kroz konfiguracijski prostor uzorkovanjem nasumičnih konfiguracija i njihovim povezivanjem ako nema kolizije. Kavraki i suradnici uveli su PRM 1996. godine, a moćan je za scenarije planiranja s više upita, gdje se odgovara na mnoge upite o putanjama, amortizirajući trošak izgradnje karte 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/hr/control-theory/probabilistic-roadmap

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Citirana u

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