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최근 조회 75,139

다음 전문 분야의 6개 강좌 중 1번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 25시간 필요

권장: 4 hours/week...

영어

자막: 영어

귀하가 습득할 기술

Motion PlanningRoboticsQuadcoperMatlab

다음 전문 분야의 6개 강좌 중 1번째 강좌:

100% 온라인

지금 바로 시작해 나만의 일정에 따라 학습을 진행하세요.

유동적 마감일

일정에 따라 마감일을 재설정합니다.

완료하는 데 약 25시간 필요

권장: 4 hours/week...

영어

자막: 영어

강의 계획 - 이 강좌에서 배울 내용

1
완료하는 데 2시간 필요

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 videos (Total 74 min), 4 readings, 2 quizzes
16개의 동영상
State Estimation7m
Applications3m
Meet the TAs52
Basic Mechanics4m
Dynamics and 1-D Linear Control10m
Design Considerations3m
Design Considerations (continued)4m
Agility and Maneuverability7m
Component Selection4m
Effects of Size4m
Supplementary Material: Introduction3m
Supplementary Material: Dynamical Systems3m
Supplementary Material: Rates of Convergence3m
4개의 읽기 자료
Setting up your Matlab programming environment10m
Matlab Tutorials - Introduction to the Matlab Environment10m
Matlab Tutorials - Programming Basics10m
Matlab Tutorials - Advanced Tools10m
2개 연습문제
1.112m
1.210m
2
완료하는 데 5시간 필요

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 videos (Total 117 min), 2 quizzes
19개의 동영상
Axis/Angle Representations for Rotations14m
Angular Velocity9m
Supplementary Material: Rigid-Body Displacements6m
Supplementary Material: Properties of Functions3m
Supplementary Material: Symbolic Calculations in Matlab4m
Supplementary Material: The atan2 Function2m
Supplementary Material: Eigenvalues and Eigenvectors of Matrices5m
Supplementary Material: Quaternions2m
Supplementary Material: Matrix Derivative1m
Supplementary Material: Skew-Symmetric Matrices and the Hat Operator4m
Formulation3m
Newton-Euler Equations6m
Principal Axes and Principal Moments of Inertia6m
Quadrotor Equations of Motion5m
Supplementary Material: State-Space Form4m
Supplementary Material: Getting Started With the First Programming Assignment3m
1개 연습문제
2.112m
3
완료하는 데 4시간 필요

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 videos (Total 65 min), 2 quizzes
9개의 동영상
Time, Motion, and Trajectories (continued)9m
Motion Planning for Quadrotors12m
Supplementary Material: Minimum Velocity Trajectories from the Euler-Lagrange Equations2m
Supplementary Material: Solving for Coefficients of Minimum Jerk Trajectories5m
Supplementary Material: Minimum Velocity Trajectories3m
Supplementary Material: Linearization of Quadrotor Equations of Motion5m
1개 연습문제
36m
4
완료하는 데 4시간 필요

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 videos (Total 68 min), 2 quizzes
5개의 동영상
Adjourn1m
Supplementary Material: Introduction to the Motion Capture System by Matthew Turpin9m
1개 연습문제
410m
4.5
507개의 리뷰Chevron Right

43%

이 강좌를 수료한 후 새로운 경력 시작하기

39%

이 강좌를 통해 확실한 경력상 이점 얻기

14%

급여 인상 또는 승진하기

Robotics: Aerial Robotics의 최상위 리뷰

대학: 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

대학: 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.

강사

Avatar

Vijay Kumar

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

펜실베이니아 대학교 정보

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. ...

로봇 공학 전문 분야 정보

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....
로봇 공학

자주 묻는 질문

  • 강좌에 등록하면 바로 모든 비디오, 테스트 및 프로그래밍 과제(해당하는 경우)에 접근할 수 있습니다. 상호 첨삭 과제는 이 세션이 시작된 경우에만 제출하고 검토할 수 있습니다. 강좌를 구매하지 않고 살펴보기만 하면 특정 과제에 접근하지 못할 수 있습니다.

  • 강좌를 등록하면 전문 분야의 모든 강좌에 접근할 수 있고 강좌를 완료하면 수료증을 취득할 수 있습니다. 전자 수료증이 성취도 페이지에 추가되며 해당 페이지에서 수료증을 인쇄하거나 LinkedIn 프로필에 수료증을 추가할 수 있습니다. 강좌 내용만 읽고 살펴보려면 해당 강좌를 무료로 청강할 수 있습니다.

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