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Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The Robotics: Computational Motion Planning Certification Course is a 100% online course that explores the nuances of robotics including its working mechanism, control systems and motion planning. The course available on the Coursera learning platform has a flexible pattern that allows learners to reset deadlines.
Through the Robotics: Computational Motion Planning Online Course, learners will be introduced to topics like automated planning and scheduling in the field of robotics engineering. The course will be instructed by CJ Taylor, Professor of Computer and Information Science at The University of Pennsylvania.
After completing the Robotics: Computational Motion Planning Live Course, learners will receive a certificate of completion. The course is the second one out of six course constituting the Robotics Specialization Programme.
The Highlights
- Shareable certificate
- Flexible deadlines
- 100% online
- 11 study hours
- Video lectures
- Practice exercises
- Academic readings
- Graded assignments
- Peer feedback
- English medium
- Financial aid
- Subtitles in English, French, Portuguese (European), Russian, Spanish
Programme Offerings
- Digital Shareable Certificate
- Flexible Deadlines
- 100% Online
- English medium
- English Subtitles
- 11 Study Hours
- financial aid
- video lectures
- Practice Exercises
- Academic Readings
- Graded Assignments
- peer feedback
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Coursera |
What you will learn
After completing the Robotics: Computational Motion Planning Classes, you will gain insights into the following topics:
- Graph-based plan methods
- Concept of configuration space
- Sample-based path planning techniques
- Randomly Exploring Rapid Trees (RRTs)
- Motion planning applications
- Construction of artificial potential fields
Who it is for
The course is suitable for anyone interested in learning about robotics essentials.
Admission Details
Follow the steps given below to enroll in Robotics: Computational Motion Planning Online Course:
Step 1: Click on the URL given below -
https://www.coursera.org/learn/robotics-motion-planning
Step 2: Click on the “Enroll for Free” option and choose the desired option.
Step 3: Fill in the required details and complete the process.
The Syllabus
Videos
- Introduction to Computational Motion Planning
- Grassfire Algorithm
- Dijkstra's Algorithm
- A* Algorithm
- Getting Started with the Programming Assignments
Readings
- Computational Motion Planning Honor Code
- Getting Started with MATLAB
- Resources for Computational Motion Planning
- Graded MATLAB Assignments
Practice exercise
Graph-based Planning Methods
Videos
- Introduction to Configuration Space
- RR arm
- Piano Mover’s Problem
- Visibility Graph
- Trapezoidal Decomposition
- Collision Detection and Freespace Sampling Methods
Practice Exercise
Configuration Space
Videos
- Introduction to Probabilistic Road Maps
- Issues with Probabilistic Road Maps
- Introduction to Rapidly Exploring Random Trees
Practice Exercise
Sampling-based Methods
Videos
- Constructing Artificial Potential Fields
- Issues with Local Minima
- Generalizing Potential Fields
- Course Summary
Practice exercises
Artificial Potential Fields
Instructors
Penn Frequently Asked Questions (FAQ's)
The course would require approximately 11 study hours for completion.
Yes, the course offers valid certification for all students who complete the paid version.
Yes, there are financial aids available for those who cannot afford the course fees.
No, the Robotics: Computational Motion Planning Online Course does not provide placement support.
The Robotics: Computational Motion Planning Course is provided by the faculty of the University of Pennsylvania.
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