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grid-mapping

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Autonomous path planning system for the NAO humanoid robot using the A* algorithm, grid-based world modelling, Manhattan heuristics, obstacle avoidance and real-robot execution for ball-retrieval tasks. Includes simulation in Webots/RViz and real NAO execution.

  • Updated Sep 7, 2026
  • Python

Single-robot SLAM & state estimation genealogy — Bayes filtering (histogram · particle filter · MCL), log-odds grid mapping, registration (ICP · NDT), features (DBSCAN), filter-based (EKF-SLAM · FastSLAM · GMapping · FAST-LIO/2) and graph-based (SPA · GraphSLAM · Cartographer) — C++/Python dual mirrors with bilingual docs

  • Updated Oct 12, 2026
  • TypeScript

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