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 support for constraints on input and state variables via barrier functions—Numba-accelerated.
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.
EVDodgeNet: Deep Dynamic Obstacle Dodging with event cameras
This project contains informed RRT* path planning, minimum-snap trajectory generation, nonlinear geometric controller for aggressive trajectory tracking and hover, and a quadrotor simulator
A fully-annotated, open-design dataset of autonomous and piloted high-speed flight
Model Predictive Control for a quadrotor in static and dynamic environments
High accuracy multi-agent UWB localization for a system of UAVs and UGVs collaborating for accurate positioning in a GPS-denied environment.
Reinforcement Learning for quadrotor trajectory planning and control
Working directory for dynamics learning for experimental robots.
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
Simulation environments for the CrazyFlie quadrotor: Used for Reinforcement Learning and Sim-to-Real Transfer
GapFlyt: Active Vision Based Minimalist Structure-less Gap Detection For Quadrotor Flight
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