About this Course

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Learner Career Outcomes

14%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 2 of 6 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 11 hours to complete
English
Subtitles: English, Spanish

Skills you will gain

Motion PlanningAutomated Planning And SchedulingA* Search AlgorithmMatlab

Learner Career Outcomes

14%

got a tangible career benefit from this course
Shareable Certificate
Earn a Certificate upon completion
100% online
Start instantly and learn at your own schedule.
Course 2 of 6 in the
Flexible deadlines
Reset deadlines in accordance to your schedule.
Approx. 11 hours to complete
English
Subtitles: English, Spanish

Offered by

Placeholder

University of Pennsylvania

Syllabus - What you will learn from this course

Content RatingThumbs Up94%(1,431 ratings)Info
Week
1

Week 1

5 hours to complete

Introduction and Graph-based Plan Methods

5 hours to complete
5 videos (Total 27 min), 4 readings, 4 quizzes
5 videos
1.2: Grassfire Algorithm6m
1.3: Dijkstra's Algorithm4m
1.4: A* Algorithm6m
Getting Started with the Programming Assignments3m
4 readings
Computational Motion Planning Honor Code10m
Getting Started with MATLAB10m
Resources for Computational Motion Planning10m
Graded MATLAB Assignments10m
1 practice exercise
Graph-based Planning Methods30m
Week
2

Week 2

3 hours to complete

Configuration Space

3 hours to complete
6 videos (Total 19 min)
6 videos
2.2: RR arm2m
2.3: Piano Mover’s Problem3m
2.4: Visibility Graph3m
2.5: Trapezoidal Decomposition1m
2.6: Collision Detection and Freespace Sampling Methods4m
1 practice exercise
Configuration Space30m
Week
3

Week 3

2 hours to complete

Sampling-based Planning Methods

2 hours to complete
3 videos (Total 17 min)
3 videos
3.2: Issues with Probabilistic Road Maps4m
3.3: Introduction to Rapidly Exploring Random Trees6m
1 practice exercise
Sampling-based Methods30m
Week
4

Week 4

2 hours to complete

Artificial Potential Field Methods

2 hours to complete
4 videos (Total 19 min)
4 videos
4.2: Issues with Local Minima2m
4.3: Generalizing Potential Fields2m
4.4: Course Summary6m
1 practice exercise
Artificial Potential Fields30m

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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

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