Informações sobre o curso
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Aprox. 25 horas para completar

Sugerido: 4 hours/week...

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Habilidades que você terá

Motion PlanningRoboticsQuadcoperMatlab

100% online

Comece imediatamente e aprenda em seu próprio cronograma.

Prazos flexíveis

Redefinir os prazos de acordo com sua programação.

Aprox. 25 horas para completar

Sugerido: 4 hours/week...

Inglês

Legendas: Inglês

Programa - O que você aprenderá com este curso

Semana
1
2 horas para concluir

Introduction to Aerial Robotics

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....
16 vídeos (total de (Total 74 mín.) min), 4 leituras, 2 testes
16 videos
Quadrotors3min
Key Components of Autonomous Flight1min
State Estimation7min
Applications3min
Meet the TAs52s
Basic Mechanics4min
Dynamics and 1-D Linear Control10min
Design Considerations3min
Design Considerations (continued)4min
Agility and Maneuverability7min
Component Selection4min
Effects of Size4min
Supplementary Material: Introduction3min
Supplementary Material: Dynamical Systems3min
Supplementary Material: Rates of Convergence3min
4 leituras
Setting up your Matlab programming environment10min
Matlab Tutorials - Introduction to the Matlab Environment10min
Matlab Tutorials - Programming Basics10min
Matlab Tutorials - Advanced Tools10min
2 exercícios práticos
1.112min
1.210min
Semana
2
5 horas para concluir

Geometry and Mechanics

Welcome to Week 2 of the Robotics: Aerial Robotics course! We hope you are having a good time and learning a lot already! In this week, we will first focus on the kinematics of quadrotors. Then, you will learn how to derive the dynamic equations of motion for quadrotors. To build a better understanding on these notions, some essential mathematical tools are discussed in supplementary material lectures. In this week, you will also complete your first programming assignment on 1-D quadrotor control. If you have not done so already, please download, install, and learn about Matlab before starting the assignment....
19 vídeos (total de (Total 117 mín.) min), 2 testes
19 videos
Rotations4min
Euler Angles12min
Axis/Angle Representations for Rotations14min
Angular Velocity9min
Supplementary Material: Rigid-Body Displacements6min
Supplementary Material: Properties of Functions3min
Supplementary Material: Symbolic Calculations in Matlab4min
Supplementary Material: The atan2 Function2min
Supplementary Material: Eigenvalues and Eigenvectors of Matrices5min
Supplementary Material: Quaternions2min
Supplementary Material: Matrix Derivative1min
Supplementary Material: Skew-Symmetric Matrices and the Hat Operator4min
Formulation3min
Newton-Euler Equations6min
Principal Axes and Principal Moments of Inertia6min
Quadrotor Equations of Motion5min
Supplementary Material: State-Space Form4min
Supplementary Material: Getting Started With the First Programming Assignment3min
1 exercícios práticos
2.112min
Semana
3
4 horas para concluir

Planning and Control

Welcome to Week 3! We have developed planar and three-dimensional dynamic models of the quadrotor. This week, you will learn more about how to develop linear controllers for these models. With this knowledge, you will be required to complete the second programming assignment of this course, which focuses on controlling the quadrotor in two dimensions. We encourage you to start working on the assignment soon. This week ends with a discussion on motion planning for quadrotors. ...
9 vídeos (total de (Total 65 mín.) min), 2 testes
9 videos
3-D Quadrotor Control7min
Time, Motion, and Trajectories9min
Time, Motion, and Trajectories (continued)9min
Motion Planning for Quadrotors12min
Supplementary Material: Minimum Velocity Trajectories from the Euler-Lagrange Equations2min
Supplementary Material: Solving for Coefficients of Minimum Jerk Trajectories5min
Supplementary Material: Minimum Velocity Trajectories3min
Supplementary Material: Linearization of Quadrotor Equations of Motion5min
1 exercícios práticos
36min
Semana
4
4 horas para concluir

Advanced Topics

Welcome to Week 4! So far, we have gone over the basics of developing linear controllers for quadrotors and motion planning. In this last week of the course, we will discuss some more advanced material on how to enable quadrotors to perform more agile maneuvers and to operate autonomously in teams. Note that the last programming assignment on quadrotor control in three dimensions uses material from the previous weeks. It is strongly recommended to start the assignment as soon as possible....
5 vídeos (total de (Total 68 mín.) min), 2 testes
5 videos
Nonlinear Control18min
Control of Multiple Robots26min
Adjourn1min
Supplementary Material: Introduction to the Motion Capture System by Matthew Turpin9min
1 exercícios práticos
410min
4.5
505 avaliaçõesChevron Right

43%

comecei uma nova carreira após concluir estes cursos

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consegui um benefício significativo de carreira com este curso

14%

recebi um aumento ou promoção

Melhores avaliações

por ITOct 23rd 2017

The course is very good.\n\nThe classes are well taught and show general concepts. It is necessary to do research on the internet, to solve the assignments. This is not a bad thing in my point of view

por STJun 9th 2018

I think this is very good course of aerial robotics research. Being a student of robotics, I feel that some of stuffs in this course needs a good background in control and mechanical engineering.

Instrutores

Avatar

Vijay Kumar

Nemirovsky Family Dean of Penn Engineering and Professor of Mechanical Engineering and Applied Mechanics
School of Engineering and Applied Science

Sobre Universidade da Pensilvânia

The University of Pennsylvania (commonly referred to as Penn) is a private university, located in Philadelphia, Pennsylvania, United States. A member of the Ivy League, Penn is the fourth-oldest institution of higher education in the United States, and considers itself to be the first university in the United States with both undergraduate and graduate studies. ...

Sobre o Programa de cursos integrados Robótica

The Introduction to Robotics Specialization introduces you to the concepts of robot flight and movement, how robots perceive their environment, and how they adjust their movements to avoid obstacles, navigate difficult terrains and accomplish complex tasks such as construction and disaster recovery. You will be exposed to real world examples of how robots have been applied in disaster situations, how they have made advances in human health care and what their future capabilities will be. The courses build towards a capstone in which you will learn how to program a robot to perform a variety of movements such as flying and grasping objects....
Robótica

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