CrazyS is an extension of the ROS package RotorS, aimed to modeling, developing and integrating the Crazyflie 2.0
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Updated
Aug 11, 2022 - C++
CrazyS is an extension of the ROS package RotorS, aimed to modeling, developing and integrating the Crazyflie 2.0
Making an ESP32-based quadcopter from scratch
Simulink vehicle PX4 autopilot communication & control interface. More info at
Flight control simulator for multirotor aerial vehicles, implemented in MATLAB script.
NextPilot Flight Control System is a powerfull, scalable and advanced autopilot, which is designed to be easily used in education, research, and industry.
SIL flight control simulator of multirotor aerial vehicles, implemented in MATLAB script and containing a virtual arena developed in Unity 3D.
Control canards is a project to control the roll moment of the rocket during flight. This project uses MATLAB's Simulink application to model flight and, using it, put the controller to test.
This repository includes a reinforcement learning framework for end-to-end type integrated thermal updraft localization and exploitation.
This repository contains MATLAB files for flight control law design course from TUHH.
Safety-informed Evolutionary Reinforcement Learning applied to fault-tolerant and robust flight control.
An unofficial implementation of publicly available approximated polynomial models for NASA's Generic Transport Model aircraft.
Autonomous STM32H743ZI Drone System
Neural network pruning for finding a sparse computational model for controlling a biological motor task.
This repository contains a flight-tested Python implementation of a particle-filter-based multiple thermal updraft estimator that allows autonomous updraft localization and exploitation.
A simple set of functions simulating flight control (aka flight scanner) in a matlab figure.
Bachelor thesis on Development of flight control strategies using optical flow
An interpreter designed to control remote-piloted vehicles (RPVs) within the Flight-Gear simulator's virtual environment. Developed on Linux
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.
This repository includes a reinforcement learning framework for solving the tactical decision-making problem subject to cross-country soaring (by the example of the competition task of GPS Triangle racing).
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