Skillget

genpark-particle-filter-monte-carlo-localization-skill

mcp
Guvenlik Denetimi
Uyari
Health Uyari
  • No license — Repository has no license file
  • Description — Repository has a description
  • Active repo — Last push 0 days ago
  • Low visibility — Only 8 GitHub stars
Code Gecti
  • Code scan — Scanned 4 files during light audit, no dangerous patterns found
Permissions Gecti
  • Permissions — No dangerous permissions requested

Bu listing icin henuz AI raporu yok.

SUMMARY

GenPark AI Agent Skill - Sequential Importance Resampling (SIR) particle filter for non-linear, non-Gaussian Monte Carlo agent state tracking and localization.

README.md

GenPark Particle Filter Monte Carlo Localization Skill

Sequential Importance Resampling (SIR) particle filter for non-linear Monte Carlo state estimation and localization.

Discover more at GenPark and the GenPark MCP Catalog.

graph TD
    A[Particle Cloud {x_i, w_i}] --> B[Motion Update: Predict x_i += v + noise]
    B --> C[Observation Likelihood Weighting w_i = P(z|x_i)]
    C --> D[Weight Normalization]
    D --> E[Systematic Low-Variance Resampling]
    E --> F[New Equi-weighted Particle Cloud]

Features

  • Non-parametric Monte Carlo representation of arbitrary belief states.
  • Low-variance systematic resampling wheel algorithm.
  • Pure Python standard library.

Yorumlar (0)

Sonuc bulunamadi