Robotics: Aerial Robotics

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课程主页: https://www.coursera.org/archive/robotics-flight

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课程简介

University of Pennsylvania

课程大纲

Welcome to Week 1! In this week, you will be introduced to the exciting field of Unmanned Aerial Robotics (UAVs) and quadrotors in particular. You will learn about their basic mechanics and control strategies and realize how careful component selection and design affect the vehicles' performance. This week also provides you with instructions on how to download and install Matlab. This software will be used throughout this course in exercises and assignments, so it is strongly recommended to familiarize yourself with Matlab soon. Tutorials to help you get started are also provided in this week.

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课程详情

How can we create agile micro aerial vehicles that are able to operate autonomously in cluttered indoor and outdoor environments? You will gain an introduction to the mechanics of flight and the design of quadrotor flying robots and will be able to develop dynamic models, derive controllers, and synthesize planners for operating in three dimensional environments. You will be exposed to the challenges of using noisy sensors for localization and maneuvering in complex, three-dimensional environments. Finally, you will gain insights through seeing real world examples of the possible applications and challenges for the rapidly-growing drone industry. Mathematical prerequisites: Students taking this course are expected to have some familiarity with linear algebra, single variable calculus, and differential equations. Programming prerequisites: Some experience programming with MATLAB or Octave is recommended (we will use MATLAB in this course.) MATLAB will require the use of a 64-bit computer.

机器人技术:空中机器人技术:我们如何创建能够在混乱的室内和室外环境中自主运行的敏捷微型航空器?您将对飞行机理和四旋翼飞行机器人的设计进行介绍,并将能够开发动态模型,派生控制器以及综合计划者,以便在三维环境中运行。您将面临在复杂的三维环境中使用噪声传感器进行定位和操纵的挑战。最后,您将通过查看现实世界中飞速发展的无人机行业可能的应用和挑战的实例来获得见识。 数学先决条件:参加本课程的学生应熟悉线性代数,单变量微积分和微分方程。 编程先决条件:建议您具有使用MATLAB或Octave进行编程的经验(在本课程中,我们将使用MATLAB。)MATLAB将要求使用64位计算机。

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