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.

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.

GNC toolkit with python

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.

Repository for a personal project implementing MPC on spacecraft relative motion models.

Access NavAbility(TM) Accelerator features from Python.

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.