關於此 專項課程
12,530 次近期查看

100% 在線課程

立即開始,按照自己的計劃學習。

靈活的計劃

設置並保持靈活的截止日期。

中級

完成時間大約為6 個月

建議 5 小時/週

英語(English)

字幕:英語(English)
Learners taking this Specialization are
  • Machine Learning Engineers
  • Engineers
  • Researchers
  • Research Assistants
  • Data Scientists

100% 在線課程

立即開始,按照自己的計劃學習。

靈活的計劃

設置並保持靈活的截止日期。

中級

完成時間大約為6 個月

建議 5 小時/週

英語(English)

字幕:英語(English)

專項課程的運作方式

加入課程

Coursera 專項課程是幫助您掌握一門技能的一系列課程。若要開始學習,請直接註冊專項課程,或預覽專項課程並選擇您要首先開始學習的課程。當您訂閱專項課程的部分課程時,您將自動訂閱整個專項課程。您可以只完成一門課程,您可以隨時暫停學習或結束訂閱。訪問您的學生面板,跟踪您的課程註冊情況和進度。

實踐項目

每個專項課程都包括實踐項目。您需要成功完成這個(些)項目才能完成專項課程並獲得證書。如果專項課程中包括單獨的實踐項目課程,則需要在開始之前完成其他所有課程。

獲得證書

在結束每門課程並完成實踐項目之後,您會獲得一個證書,您可以向您的潛在雇主展示該證書並在您的職業社交網絡中分享。

how it works

此專項課程包含 6 門課程

課程1

Modern Robotics, Course 1: Foundations of Robot Motion

4.7
197 個評分
45 個審閱
課程2

Modern Robotics, Course 2: Robot Kinematics

4.9
90 個評分
19 個審閱
課程3

Modern Robotics, Course 3: Robot Dynamics

4.7
54 個評分
8 個審閱
課程4

Modern Robotics, Course 4: Robot Motion Planning and Control

4.8
33 個評分
6 個審閱

講師

Avatar

Kevin Lynch

Professor
Mechanical Engineering

關於 西北大学

Northwestern University is a private research and teaching university with campuses in Evanston and Chicago, Illinois, and Doha, Qatar. Northwestern combines innovative teaching and pioneering research in a highly collaborative environment that transcends traditional academic boundaries. ...

常見問題

  • 可以!点击您感兴趣的课程卡开始注册即可。注册并完成课程后,您可以获得可共享的证书,或者您也可以旁听该课程免费查看课程资料。如果您订阅的课程是某专项课程的一部分,系统会自动为您订阅完整的专项课程。访问您的学生面板,跟踪您的进度。

  • 此课程完全在线学习,无需到教室现场上课。您可以通过网络或移动设备随时随地访问课程视频、阅读材料和作业。

  • Each of the six courses is scheduled for 4 weeks, with a typical week requiring approximately 5 hours of work (reading, videos, quizzes, and projects). If you work steadily, you should be able to complete the Specialization in 24 weeks, with a total of approximately 120 hours of work.

  • This specialization is designed to be accessible to students who have taken typical college first-year (freshman) engineering courses. The student should have an understanding of:

    Freshman-level physics, including f = ma; masses, springs, and dampers; vector forces; and vector torques (or moments) as the cross product of a distance vector and a force;

    Linear algebra, including matrix operations, positive definiteness of a matrix, determinants, complex numbers, eigenvalues, and eigenvectors;

    Some calculus, derivatives, and partial derivatives;

    Basic linear ordinary differential equations; and

    A little bit of programming experience.

  • It is highly recommended you follow the courses in the specified order, since the material builds on itself throughout the Specialization.

  • Upon completing the Specialization, you will have studied material that might normally be covered in two semesters at the university level. You will be able to represent motions and forces (wrenches) in three-dimensional space; mathematically model the forward, inverse, and velocity kinematics of open- and closed-chain robots; plan collision-free robot motions among obstacles; analyze robot manipulation tasks with rigid bodies in frictional contact; and derive motion planners and feedback controllers for wheeled mobile robots. You will be able to write software supporting all of these activities, and you will verify your software on a state-of-the-art robot simulator. The high-level software you develop will be useful for almost any physical robot, once it is supplemented with drivers that connect the high-level software to the specific robot hardware.

    Finally, upon completing this Specialization you will be equipped to take graduate-level courses in robot motion planning, manipulation, and control, or to interview confidently for a job in robot control.

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