There are 13 repositories under quadrotor topic.
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
This is the open-source version of ICRA 2019 submission "Real-time Scalable Dense Surfel Mapping"
A General-Purpose Trajectory Optimizer for Multicopters
Quadrotor control framework developed by the Robotics and Perception Group
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Aggressive trajectory tracking using mavros for PX4 enabled vehicles
Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.
Alternating Minimization Based Trajectory Generation for Quadrotor Aggressive Flight
Autonomous UAV Navigation without Collision using Visual Information in Airsim
Simulate the path planning and trajectory planning of quadrotors/UAVs.
Geometric controllers developed at FDCL for UAVs
EVDodgeNet: Deep Dynamic Obstacle Dodging with event cameras
This is a dynamic simulation for quadrotor UAV
A robust UAV local planner based on the ICRA2020 paper: Robust Real-time UAV Replanning Using Guided Gradient-based Optimization and Topological Paths
A simulation for quadrotor based on matlab
Trajectory Planning and control
Working directory for dynamics learning for experimental robots.
Hector Quadrotor ported to ROS Noetic with Gazebo 11
Model Predictive Control for a quadrotor in static and dynamic environments
A collection of Jupyter/IPython notebooks that implement quadrotor control schemes in an expository manner
Multi-rotor Gym
PyDiffGame is a Python implementation of a Nash Equilibrium solution to Differential Games, based on a reduction of Game Hamilton-Bellman-Jacobi (GHJB) equations to Game Algebraic and Differential Riccati equations, associated with Multi-Objective Dynamical Control Systems
Udacity Flying Car Nanodegree - Term 1 - Project 3 - 3D Quadrotor Controller
It is a known fact that quadrotor UAVs are in general under-actuated and nonlinear system and it is a challenge to control them, especially in case of aggressive maneuvers. Our goal in this project is to study the nonlinear geometric control approach to control a quadrotor. The configuration of the quadrotor system described on smooth nonlinear geometric configuration spaces has been briefly discussed, and analyzed with the principles of differential geometry. This allows us to avoid any kind of singularities that would otherwise arise on local charts.