日本フィジカルAI新聞

世界のフィジカルAIを、日本語で。

週刊ニュースレター購読
arXiv:2306.04485

RotorPy: A Python-based Multirotor Simulator with Aerodynamics for Education and Research

RotorPy: A Python-based Multirotor Simulator with Aerodynamics for Education and Research

シェア:XThreadsFacebookLINEはてブBluesky

著者: Spencer Folk, James Paulos, Vijay Kumar

分類: cs.RO

原文アブストラクト

Simulators play a critical role in aerial robotics both in and out of the classroom. We present RotorPy, a simulation environment written entirely in Python intentionally designed to be a lightweight and accessible tool for robotics students and researchers alike to probe concepts in estimation, planning, and control for aerial robots. RotorPy simulates the 6-DoF dynamics of a multirotor robot including aerodynamic wrenches, obstacles, actuator dynamics and saturation, realistic sensors, and wind models. This work describes the modeling choices for RotorPy, benchmark testing against real data, and a case study using the simulator to design and evaluate a model-based wind estimator.