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bayesian-filtering

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This is a comprehensive project focused on implementing popular algorithms for state estimation, robot localization, 2D mapping, and 2D & 3D SLAM. It utilizes various types of filters, including the Kalman Filter, Extended Kalman Filter, Unscented Kalman Filter, and Particle Filter.

  • Updated Sep 8, 2024
  • Jupyter Notebook

Quantum-enhanced Casimir nanopositioning platform with multi-physics digital twin achieving <0.05 nm precision, validated UQ framework, and production-ready control systems

  • Updated Jul 11, 2025
  • Python

Discover the Casimir Nanopositioning Platform, featuring quantum-enhanced calculations and a multi-physics digital twin for precise positioning. 🌌🔧

  • Updated Jul 15, 2025
  • Python

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