v0.1.0 RoVerFly Initial Release 🎉

🚀 RoVerFly v0.1.0 --- 🛸 RoVerFly: Robust and Versatile Implicit Hybrid Control of Quadrotor–Payload Systems

We’re excited to release RoVerFly v0.1.0, the official research code accompanying our paper:

Mintae Kim, Jiaze Cai, and Koushil Sreenath
RoVerFly: Robust and Versatile Implicit Hybrid Control of Quadrotor–Payload Systems
Submitted to IEEE American Control Conference (ACC) 2026
[arXiv preprint]

This release provides a complete simulation and reinforcement learning framework for quadrotor trajectory tracking and flexible cable–payload control using MuJoCo + Stable Baselines3.