About this Course
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Course 6 of 6 in the

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Flexible deadlines

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Approx. 25 hours to complete

Suggested: 6 weeks of study, 2-4 hours/week...

English

Subtitles: English

Skills you will gain

Python ProgrammingRoboticsRaspberry PiMatlab
Learners taking this Course are
  • Engineers

    Course 6 of 6 in the

    100% online

    Start instantly and learn at your own schedule.

    Flexible deadlines

    Reset deadlines in accordance to your schedule.

    Approx. 25 hours to complete

    Suggested: 6 weeks of study, 2-4 hours/week...

    English

    Subtitles: English

    Syllabus - What you will learn from this course

    Week
    1
    20 minutes to complete

    Week 1

    3 videos (Total 20 min)
    3 videos
    Introduction to the Mobile Inverted Pendulum (MIP) Track4m
    Introduction to the Autonomous Rover (AR) Track10m
    4 hours to complete

    Week 1: Lesson Choices

    2 videos (Total 9 min), 2 readings, 2 quizzes
    2 videos
    (Review) Dijkstra's Algorithm4m
    2 readings
    B1.1 Purchasing the Robot Kit10m
    B1.2 The Rover Simulator20m
    1 practice exercise
    A1.2 Integrating an ODE with MATLAB30m
    Week
    2
    5 hours to complete

    Week 2: Lesson Choices

    6 videos (Total 30 min), 7 readings, 2 quizzes
    6 videos
    (Review) PD Control for a Point Particle in Space5m
    A2.1 PD Control for Second-Order Systems6m
    (Review) Infinitesimal Kinematics; RR Arm3m
    B2.1 Building the Autonomous Rover (AR)1m
    B2.6 Connecting to the Pi2m
    7 readings
    B2.2 Soldering tips10m
    B2.3 Soldering the Motor Hat and IMU20m
    B2.4 Flashing your Raspberry Pi SD Card10m
    B2.5 Assembling the Robot40m
    B2.7 Expanding the SD Card Partition2m
    B2.8 Remote Access to the Pi10m
    B2.9 Controlling the Rover10m
    1 practice exercise
    A2.2 PD Tracking2h
    Week
    3
    3 hours to complete

    Week 3: Lesson Choices

    7 videos (Total 37 min), 3 readings, 2 quizzes
    7 videos
    A3.1 Using an EKF to get Scalar Orientation from an IMU5m
    B3.1 Calibration3m
    B3.2 Camera Calibration3m
    (Review) Rotations and Translations18m
    B3.4 Camera to body calibration3m
    B3.5 Introduction to Apriltags1m
    3 readings
    B3.3 Motor Calibration15m
    B3.6 Printing your own AprilTags10m
    B3.7 Optional: IMU Accelerometer Calibration10m
    2 practice exercises
    A3.2 EKF for Scalar Attitude Estimation2h
    B3.8 Calibration8m
    Week
    4
    3 hours to complete

    Week 4: Lesson Choices

    4 videos (Total 28 min), 2 quizzes
    4 videos
    A4.1 Modeling a Mobile Inverted Pendulum (MIP)2m
    (Review) 2-D Quadrotor Control9m
    B4.1 Designing a Controller for the Rover7m
    1 practice exercise
    A4.2 Dynamical simulation of a MIP1h
    4.5
    20 ReviewsChevron Right

    33%

    started a new career after completing these courses

    25%

    got a tangible career benefit from this course

    Top reviews from Robotics: Capstone

    By CPSep 25th 2016

    The capstone is really good.\n\nToo bad it means the end of this specialization... I liked it here.\n\nBut it is also the beginning of playing more with ROS, simulation tools and real robots.

    By AKOct 10th 2017

    Enjoyed this challenging course! Thankyou coursera. This Specialization is great for learning concepts but it is not industry oriented. Overall had a great experience.

    Instructors

    Avatar

    Kostas Daniilidis

    Professor of Computer and Information Science
    School of Engineering and Applied Science
    Avatar

    Sid Deliwala

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

    About University of Pennsylvania

    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. ...

    About the Robotics Specialization

    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....
    Robotics

    Frequently Asked Questions

    • Once you enroll for a Certificate, you’ll have access to all videos, quizzes, and programming assignments (if applicable). Peer review assignments can only be submitted and reviewed once your session has begun. If you choose to explore the course without purchasing, you may not be able to access certain assignments.

    • When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.

    More questions? Visit the Learner Help Center.