nanyixu

trajectory_tracking_simulation

gym-usv

OpenAI gym environment of an Unmanned Surface Vehicle.

AUV-Path-Following-Simulation

A 3D path following simulation for autonomous underwater vehicle on Matlab/Simulink

gym-auv

OpenAI gym environment for collision avoidance and path following with an AUV

gym-auv

OpenAI gym environment for collision avoidance and path following with an AUV

ElegantRL

Massively Parallel Deep Reinforcement Learning. 🔥

Deep-reinforcement-learning-with-pytorch

PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....

Reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

tianshou

An elegant PyTorch deep reinforcement learning library.

DDPG

Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow

Modelling-Simulation-and-Implementation-of-Linear-Control-for-Asymmetric-Multirotor-UAVs

Master's Thesis Project: Design, Development, Modelling and Simulating of a Y6 Multi-Rotor UAV, Imlementing Control Schemes such as Proportional Integral Derivative Control, Linear Quadratic Gaussian Control and Model Predictive Control on a BeagleBone Blue

Flight-Dynamics-and-Control-UAVs

Understanding of flight control systems, including dynamic models for UAVs, low level autopilot design, trajectory following, and path planning. The essential physics and sensors of UAV problems, including low-level autopilot for stability and higher-level autopilot functions of path planning will be explored. Rigid-body dynamics through aerodynamics, stability augmentation, and state estimation using onboard sensors, to maneuvering through obstacles. Files include simulation projects using the MATLAB/Simulink environment. Projects start from modeling rigid-body dynamics, then add aerodynamics and sensor models. Furthermore, low-level autopilot code, extended Kalman filters for state estimation, path-following routines, and high-level path-planning algorithms.

Drone_Simulation

Matlab simulation of educational UAV (PID Version)

uav_pid

四旋翼pid控制simulink模型

AerialRobotics

Simulate the path planning and trajectory planning of quadrotors/UAVs.

ReliefF

Implementations of the Relief family of feature selection algorithms.

MachineLearning_Ass2

神经网络的实现，包括bp神经网络和rbf神经网络