PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

Quadrotor control, path planning and trajectory optimization

A General-Purpose Trajectory Optimizer for Multicopters

This is the open-source version of ICRA 2019 submission "Real-time Scalable Dense Surfel Mapping"

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

Quadrotor control framework developed by the Robotics and Perception Group

Agile flight done right!

Policy Search for Model Predictive Control with Application to Agile Drone Flight

Aggressive trajectory tracking using mavros for PX4 enabled vehicles

A minimal quadrotor autonomy framework in Rust (Mac, Linux, Windows)

The dRonin flight controller software.

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

iterative Linear Quadratic Regulator with constraints.

In-Flight Analysis for PX4

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

Geometric controllers developed at FDCL for UAVs

Official implementation for the paper "CoVO-MPC: Theoretical Analysis of Sampling-based MPC and Optimal Covariance Design" accepted by L4DC 2024. CoVO-MPC is an optimal sampling-based MPC algorithm.

This is a dynamic simulation for quadrotor UAV