PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
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Updated
Jun 7, 2024 - Python
PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control
PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL
Collection of Reinforcement Learning / Meta Reinforcement Learning Environments.
Autonomous UAV Navigation without Collision using Visual Information in Airsim
iterative Linear Quadratic Regulator with constraints.
EVDodgeNet: Deep Dynamic Obstacle Dodging with event cameras
Working directory for dynamics learning for experimental robots.
Trajectory Planning and control
Model Predictive Control for a quadrotor in static and dynamic environments
Multi-rotor Gym
PX4-firmware based drone control ROS node written in python
GapFlyt: Active Vision Based Minimalist Structure-less Gap Detection For Quadrotor Flight
High accuracy multi-agent UWB localization for a system of UAVs and UGVs collaborating for accurate positioning in a GPS-denied environment.
Simulation environments for the CrazyFlie quadrotor: Used for Reinforcement Learning and Sim-to-Real Transfer
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.
Simulation of Quadcopter/Quadrotor Exploration of Unknown Environments using Artificial Potential Field. Uses Vispy for animation
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
Autonomous Quadrotor 3D environment, based on python.
Quadrotor control using deep reinforcement learning
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