机器人

Robotics : Learn the Building Blocks for a Career in Robotics

Learn the fundamentals of robotics and gain hands-on programming experience with robots applied in everyday life and in a wide variety of industries.

宾夕法尼亚大学

专项课程

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本专项课程介绍

The Robotics Specialization introduces you to how robots sense and reason about the world they live, how they plan three dimensional movements in a dynamic environment and how they fly or run while adapting to uncertainties in the environment. You will be exposed to real world examples with drones, legged robots and driverless cars. The courses build towards a capstone in which you will learn how to program robots to perform a variety of tasks in unstructured, dynamic environments. To see a video introduction from Penn Engineering’s Dean Vijay Kumar, please click here.

第 1 门课程

Robotics: Aerial Robotics

即将开课的班次:5月 9 — 6月 13。每隔 3 周会有一个新班次开课。

课程概述
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.

第 2 门课程

Robotics: Computational Motion Planning

即将开课的班次:5月 9 — 6月 13。每隔 3 周会有一个新班次开课。

课程概述
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.

第 3 门课程

Robotics: Mobility

即将开课的班次:5月 9 — 6月 13。每隔 3 周会有一个新班次开课。
课程学习时间 4 weeks of study, 2-4 hours/week

课程概述
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.

第 4 门课程

Robotics: Perception

即将开课的班次:5月 16 — 6月 20。每隔 3 周会有一个新班次开课。
课程学习时间 4周的学习时间,每周需花费3-5小时

课程概述
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.

第 5 门课程

Robotics: Estimation and Learning

于 May 16, 2016 开始

课程概述
How can robots determine their state and properties of the surrounding environment from noisy sensor measurements in time? In this module you will learn how to get robots to incorporate uncertainty into estimating and learning from a dynamic and changing world. Specific topics that will be covered include probabilistic generative models, Bayesian filtering for localization and mapping, and machine learning for planning and decision making.

毕业项目

Robotics: Capstone

于 June 2016 开始

毕业项目介绍
The Robotics Capstone Project allows you to synthesize the learning you achieved from each of the five Robotics Specialization courses. Projects will be in a simulated environment or using public data sets. Hands-on programming experience will demonstrate that you have acquired the foundations of robot movement, planning, and perception, and that you are able to translate them to a variety of practical applications in real world problems. Completion of the capstone will better prepare you to enter the field of Robotics as well as an expansive and growing number of other career paths where robots are changing the landscape of nearly every industry.

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