机器人:空中机器人

Robotics: Aerial Robotics

1692 次查看
宾夕法尼亚大学
Coursera
  • 完成时间大约为 25 个小时
  • 混合难度
  • 英语
注:本课程由Coursera和Linkshare共同提供,因开课平台的各种因素变化,以上开课日期仅供参考

你将学到什么

Motion Planning

Robotics

Quadcoper

Matlab

课程概况

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.

课程大纲

第 1 周 Introduction to Aerial Robotics
1.1. Introduction
1.2. Energetics and System Design
Quiz: 1.1
Quiz: 1.2

第 2 周 Geometry and Mechanics
2.1. Quadrotor Kinematics
2.2 Quadrotor Kinematics - Supplementary Material
2.3. Quadrotor Dynamics
Quiz: 2.1
作业: 1-D Quadrotor Control

第 3 周 Planning and Control
3.1. Control
3.2. Planning
作业: 2-D Quadrotor Control
Quiz: 3

第 4 周 Advanced Topics
On-Board Estimation, Nonlinear Control, and Swarms
Quiz: 4
作业: 3-D Quadrotor Control

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