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completed codes of "lecture notes of probabilistic robotics"
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data
inference
mdp
pomdp
reinforcement_learning
scripts
self_localization
slam
.gitignore
LICENSE
README.md

README.md

LNPR codes

completed codes of the lecture note of probabilistic robotics

contents

self-localization

  • basic methods
    • mcl.ipynb: Monte Carlo localization
    • kf.ipynb: Kalman Filter
  • advanced methods
    • kld_mcl.ipynb: MCL with KLD (Kullback–Leibler divergence) sampling
    • adaptive_mcl.ipynb: adaptive MCL
  • resetting methods
    • sensor_reset_mcl.ipynb: MCL with sensor resetting
    • expansion_reset_mcl.ipynb: MCL with expansion resetting
    • expansion_sensor_reset_mcl.ipynb: MCL with sensor resetting and expansion resetting

SLAM

  • fastslam.ipynb: FastSLAM 1.0
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