AVDC 2021 - GNC of a SWARM of UAVs in a numerical simulation by Alex Martinez and Tom Antoine
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Updated
Apr 14, 2021 - Python
AVDC 2021 - GNC of a SWARM of UAVs in a numerical simulation by Alex Martinez and Tom Antoine
Lossless convexification new results (mixed-integer problems)
GNC of a SWARM of UAVs in a SITL by Tom Antoine and Alex Martinez - Cranfield University AVDC MSc 2021
A python package for guidance, navigation, and control (GNC) algorithms developed by the Laboratory for Autonomy, GNC, and Estimation Research (LAGER) at the University of Alabama (UA).
A python package for Guidance, navigation, and control (GNC) of Autonomous Swarms Using Random finite sets (RFS) developed by the Laboratory for Autonomy, GNC, and Estimation Research (LAGER) at the University of Alabama (UA).
Curriculum training a Differentiable Neural Computer using Population Based Training
The missile knows where it is at all times. It knows this because it knows where it isn't. By subtracting where it is from where it isn't, or where it isn't from where it is (whichever is greater), it obtains a difference, or deviation. The guidance subsystem uses deviations to generate corrective commands.
Real-time quaternion-based Multiplicative Extended Kalman Filter (MEKF) for IMU orientation estimation with gyroscope bias compensation and 3D visualization.
This repository contains the files related to the article ‘An unified approach to link prediction in collaboration networks ’, as well as the results obtained in it.
Experimental Design for In-Space Evaluation of Attitude Estimation Algorithms in CubeSats.
6-DoF-lite guided projectile simulator with proportional navigation, pitch trim, quaternion attitude, CP/CG offset, and Monte Carlo targeting. Drop-in replace aero tables from CFD.
Code for the ESA Concurrent Design Challenge
This project builds a machine-learning surrogate model using data generated from a quasi-6-DoF physics simulator replacing numerical integration with a neural network that can predict full 3-D trajectories including altitude, downrange motion, and lateral deflection hundreds of times faster while maintaining meter-level accuracy.
Python 火箭設計工具:任務 ΔV、推進、結構、熱力、GNC、V&V、不確定度、對標與氣動代理。MIT 授權。
A flight-ready satellite mission control system built on real orbital physics, autonomous GNC, and AI-driven trajectory optimization. CommandX brings together the tools mission operators need — from live fleet monitoring to hardware stress simulation — inside a single command interface.
This is a Python package for getting easy access to tools needed to perform calculations and transformation related to guidance, navigation and control (GNC) tasks. It is based on the tools used in PythonVehicleSimulator and MSS Toolbox by Thor I. Fossen.
6-DOF fixed-wing UAV simulation with cascaded PID autopilot, cross-track guidance, Dryden turbulence (MIL-HDBK-1797), and an EKF for IMU/GPS navigation.
Mission-control telemetry simulation and anomaly surfacing stack for orbital monitoring and operator-facing dashboards.
A lightweight Python toolkit for early-stage parafoil design, sizing, and trajectory simulation using low-fidelity aerodynamic models.
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