Robotics 專項課程

於 Nov 21 開始

Robotics 專項課程

Learn the Building Blocks for a Career in Robotics。 Gain experience programming robots to perform in situations and for use in crisis management

本專項課程介紹

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.

製作方:

courses
6 courses

按照建議的順序或選擇您自己的順序。

projects
項目

旨在幫助您實踐和應用所學到的技能。

certificates
證書

在您的簡歷和領英中展示您的新技能。

課程
Beginner Specialization.
No prior experience required.
  1. 第 1 門課程

    Robotics: Aerial Robotics

    課程學習時間
    4 hours/week
    字幕
    英語(English)

    課程概述

    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 ab
  2. 第 2 門課程

    Robotics: Computational Motion Planning

    課程學習時間
    3 hours/week
    字幕
    英語(English), 西班牙語(Spanish)

    課程概述

    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 ac
  3. 第 3 門課程

    Robotics: Mobility

    課程學習時間
    4 weeks of study, 2-4 hours/week
    字幕
    英語(English)

    課程概述

    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 mob
  4. 第 4 門課程

    Robotics: Perception

    課程學習時間
    4周的学习时间,每周需花费3-5小时
    字幕
    英語(English)

    課程概述

    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 fea
  5. 第 5 門課程

    机器人学:估计和学习

    課程學習時間
    学习时间:4周,每周3-4小时
    字幕
    英語(English), 中文(簡體)

    課程概述

    机器人如何实时确定他们的状态,并从带有噪声的传感器测量量获得周围环境的信息?在这个模块中,你将学习怎样让机器人把不确定性融入估计,并向动态和变化的世界进行学习。特殊专题包括用于
  6. 第 6 門課程

    Robotics: Capstone

    當前班次:Nov 19
    課程學習時間
    6 weeks of study, 2-4 hours/week
    字幕
    英語(English)

    畢業項目介紹

    In our 6 week Robotics Capstone, we will give you a chance to implement a solution for a real world problem based on the content you learnt from the courses in your robotics specialization. It will also give you a chance to use mathematical and progra

製作方

  • University of Pennsylvania

    For over 150 years, Penn Engineering’s world-acclaimed faculty, state-of-the-art research laboratories and highly interdisciplinary curricula have offered a learning experience that is unparalleled. Having evolved in transformative ways to meet the technological opportunities and challenges of the 21st Century, the School’s educational philosophy has remained constant: to integrate current theory and hands-on experience with modern instrumentation and analytic techniques.

    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.

  • Vijay Kumar

    Vijay Kumar

    Nemirovsky Family Dean of Penn Engineering and Professor of Mechanical Engineering and Applied Mechanics
  • CJ Taylor

    CJ Taylor

    Professor of Computer and Information Science
  • Daniel E. Koditschek

    Daniel E. Koditschek

    Professor of Electrical and Systems Engineering
  • Daniel Lee

    Daniel Lee

    Professor of Electrical and Systems Engineering
  • Jianbo Shi

    Jianbo Shi

    Professor of Computer and Information Science
  • Kostas Daniilidis

    Kostas Daniilidis

    Professor of Computer and Information Science
  • Sid Deliwala

    Sid Deliwala

    Director, Electrical and Systems Engineering Labs and Lecturer, Electrical and Systems Engineering

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