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.
专项课程 的运作方式
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实践项目
每个专项课程都包括实践项目。您需要成功完成这个（些）项目才能完成专项课程并获得证书。如果专项课程中包括单独的实践项目课程，则需要在开始之前完成其他所有课程。
获得证书
在结束每门课程并完成实践项目之后，您会获得一个证书，您可以向您的潜在雇主展示该证书并在您的职业社交网络中分享。
此专项课程包含 6 门课程
课程1
Robotics: Aerial Robotics
4.5
1,916 个评分
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2
Robotics: Computational Motion Planning
4.2
728 个评分
Robotic systems typically include three components: a mechanism which is capable of exerting forces and torques on the environment, a perception system for sensing the world and a decision and control system which modulates the robot's behavior to achieve the desired ends. In this course we will consider the problem of how a robot decides what to do to achieve its goals. This problem is often referred to as Motion Planning and it has been formulated in various ways to model different situations. You will learn some of the most common approaches to addressing this problem including graph-based methods, randomized planners and artificial potential fields. Throughout the course, we will discuss the aspects of the problem that make planning challenging.
课程3
Robotics: Mobility
3.9
430 个评分
How can robots use their motors and sensors to move around in an unstructured environment? You will understand how to design robot bodies and behaviors that recruit limbs and more general appendages to apply physical forces that confer reliable mobility in a complex and dynamic world. We develop an approach to composing simple dynamical abstractions that partially automate the generation of complicated sensorimotor programs. Specific topics that will be covered include: mobility in animals and robots, kinematics and dynamics of legged machines, and design of dynamical behavior via energy landscapes.
课程4
Robotics: Perception
4.4
446 个评分
How can robots perceive the world and their own movements so that they accomplish navigation and manipulation tasks? In this module, we will study how images and videos acquired by cameras mounted on robots are transformed into representations like features and optical flow. Such 2D representations allow us then to extract 3D information about where the camera is and in which direction the robot moves. You will come to understand how grasping objects is facilitated by the computation of 3D posing of objects and navigation can be accomplished by visual odometry and landmark-based localization.
讲师
Jianbo Shi
Professor of Computer and Information ScienceSchool of Engineering and Applied Science
Vijay Kumar
Nemirovsky Family Dean of Penn Engineering and Professor of Mechanical Engineering and Applied MechanicsSchool of Engineering and Applied Science
Daniel Lee
Professor of Electrical and Systems EngineeringSchool of Engineering and Applied Science
CJ Taylor
Professor of Computer and Information ScienceSchool of Engineering and Applied Science
Daniel E. Koditschek
Professor of Electrical and Systems EngineeringSchool of Engineering and Applied Science
Sid Deliwala
Director, Electrical and Systems Engineering Labs and Lecturer, Electrical and Systems EngineeringDepartment of Electrical and Systems Engineering
Kostas Daniilidis
Professor of Computer and Information ScienceSchool of Engineering and Applied Science
关于 宾夕法尼亚大学
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.
常见问题
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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。
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此课程是 100% 在线学习吗？是否需要现场参加课程？
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。
完成专项课程后我会获得大学学分吗？
此专项课程不提供大学学分，但部分大学可能会选择接受专项课程证书作为学分。查看您的合作院校了解详情。
How long does it take to complete the Introduction to Robotics Specialization?
Time to completion can vary based on your schedule, but learners are able to complete the Specialization in as few as six months.
此专项课程中每门课程的开课频率为多久？
Each course in the Specialization is offered on a regular schedule, with sessions starting about once per month. If you don't complete a course on the first try, you can easily transfer to the next session, and your completed work and grades will carry over.
What background knowledge is necessary?
No particular background is necessary, however, some knowledge of engineering and mathematics is helpful.
退款政策是如何规定的？
You can receive a full refund up to two weeks after payment. View the full refund policy.
Do I need to take the courses in a specific order?
We recommend taking the courses in the order presented, as each subsequent course will build on material from previous courses.
Will I earn university credit for completing the Introduction to Robotics Specialization?
Coursera courses and certificates don't carry university credit.
What will I be able to do upon completing the Introduction to Robotics Specialization?
You will be able to program a robot’s movement and flight. The specialization is designed to help you move into a career in Robotics, engineering or other industries where robots are used to make technological advancement in the field.
What software will I need to complete the assignments?
The specialization requires the use of MATLAB which is provided for free from MathWorks. Included in the specialization are instructional videos and download information for the use of MATLAB. MATLAB will require the use of a 64-bit computer.
Are there any resources I can consult to review prerequisites?
We will provide resources that might help prepare you to take this specialization.
还有其他问题吗？请访问 学生帮助中心。
