State estimation, smoothing and parameter estimation using Kalman and particle filters.
A practical astrodynamics for research and engineering applications
Framework for simulating and evaluating autonomous ship collision avoidance (COLAV) control strategies. Developed as part of the Autoship Centre for Research-based Innovation (SFI). Open sourced in the autumn of 2025.
A high-performance, extensible aircraft GNC framework for Julia
Rtabmap SLAM with realsense D4XX depth camera with ROS2 Humble
Python TERCOM (Terrain Contour Matching) Demo for GPS-Denied Navigation
Python DSMAC (Digital Scene Matching Area Correlator) Demo for GPS-Denied Navigation
Access NavAbility(TM) Accelerator features from JuliaLang.
Naturalis is a Python framework for orbital simulation and Guidance, Navigation, and Control (GNC) algorithm development.
Reproducible aerocapture + EDL braking trade studies with audit-grade telemetry and verification--compare baselines, enforce q/g/heating constraints, and rerun results from a single config.
Access NavAbility(TM) Accelerator features from JavaScript.
GNC toolkit with python
Access NavAbility(TM) Accelerator features from C/C++.
Real-time quaternion-based Multiplicative Extended Kalman Filter (MEKF) for IMU orientation estimation with gyroscope bias compensation and 3D visualization.
Repository for a personal project implementing MPC on spacecraft relative motion models.
Verified implementations of nonlinear dynamics and control systems spanning aerospace and orbital mechanics domains. This repository provides high-fidelity technical baselines for 6-DOF rigid-body flight mechanics, 15-decimal precision orbital state propagation, and interplanetary mission trajectory planning as a example of the author's capability.
Access NavAbility(TM) Accelerator features from Rust.
A lightweight Python toolkit for early-stage parafoil design, sizing, and trajectory simulation using low-fidelity aerodynamic models.
Access NavAbility(TM) Accelerator features from Python.
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