Robotics: Perception
Learn about the techniques and principles behind the navigation and task manipulation of robots with the ‘Robotics: Perception’ course
Intermediate
Online
4 Weeks
6,634 INR Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study | Video and Text Based |
Course Overview
The ‘Robotics: Perception’ online course is developed for the students to enhance their knowledge of the process involved in object grasping which is accomplished by the computation of the 3D posing of objects and the robot navigation. This Robotics specialization course is a part of the mechanical engineering domain under physical science and engineering, it is provided for the students on the online education platform Coursera and is offered by the University of Pennsylvania. The course is a self-paced learning program where the students will take approximately thirty three hours to complete the course.
The intermediate level certification engages the students to familiarize themselves with the concepts of visual odometry and landmark-based localization to understand the process of navigation in robots. The course curriculum is offered with subtitles in French, Portuguese, Russian, English, Spanish for the candidates to experience a better learning process. The ‘Robotics: Perception’ training program by Coursera ensures a certificate for the participants who complete the course.
The Highlights
- Online mode
- Thirty-three hours course
- Robotics specialization program
- Independent learning
- Intermediate level training
- Extendable deadlines
- Financial support
- Certificate
- Subtitles in French, Portuguese, Russian, English, Spanish
Programme Offerings
- videos
- Practice Exercises
- Readings
- Graded Quizzes
- Graded Assignments
- Self-Study Program
- course certificate
- Financial Assistance
- peer feedback
- Graded Programming Assignments.
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | Coursera |
Robotics: Perception Free Structure
| Particulars | Fee Amount in INR |
| Robotics: Perception - Audit course | Free |
| Robotics: Perception - 1 month | Rs.6,634/- |
| Robotics: Perception - 3 months | Rs.13,268/- |
| Robotics: Perception - 6 months | Rs.19,903/- |
Eligibility Criteria
Certificate qualifying details
The students of the ‘Robotics: Perception’ online course by Coursera will qualify for the shareable certificate by the University of Pennsylvania after completing the study.
What you will learn
The Robotics: Perception syllabus is designed for the candidates to develop their skills in robotics, automation, mathematics, geometry, computer vision, and mechanical engineering. The students will gain an understanding of geometry and the navigation of robots by learning about the principles behind visual odometry and landmark-based remote sensing. By the end of the course, candidates will be able to know of the working of cameras in the robots to improve their career prospects in this field.
Who it is for
The ‘Robotics: Perception’ online certification program is for the interested in gaining skills for computer vision, estimation, random sample consensus(Ransac), and geometry to understand the navigation and perception in robots.
Admission Details
Candidates interested in applying for the ‘Robotics: Perception’ online training program can register online through the Coursera website.
Step 1: Go to the course page using the link- https://www.coursera.org/learn/robotics-perception
Step 2: Click on the ‘Enroll for Free’ option.
Step 3: Choose the preferred mode for study.
Step 4: Make the payment and start the course.
Application Details
For the ‘Robotics: Perception’ course registration students will have to create a course account in Coursera by entering their name and email address.
The Syllabus
Videos
- Introduction
- Camera Modeling
- Single View Geometry
- More on Perspective Projection
- Glimpse on Vanishing Points
- Perspective Projection I
- Perspective Projection II
- Point-Line Duality
- Rotations and Translations
- Pinhole Camera Model
- Focal Length and Dolly Zoom Effect
- Intrinsic Camera Parameter
- 3D World to First Person Transformation
- How to Compute Intrinsics from Vanishing Points
- Camera Calibration
Reading
- Setting up MATLAB
Practice exercises
- Introduction
- Vanishing Points
- Perspective Projection
- Rotations and Translations
- Dolly Zoom
- Feeling of Camera Motion
- How to Compute Intrinsics from Vanishing Points30m
- Camera Calibration
Videos
- Vanishing Points; How to Compute Camera Orientation
- Compute Projective Transformations
- Projective Transformations and Vanishing Point
- Cross Ratios and Single View Metrology
- Two View Soccer Metrology
Practice exercises
- Homogeneous Coordinates
- Projective Transformations
- Vanishing Points
- Cross Ratios and Single View Metrology
Videos
- Visual Features
- Singular Value Decomposition
- RANSAC: Random Sample Consensus I
- Where am I? Part 1
- Where am I? Part 2
- Pose from 3D Point Correspondences: The Procrustes Problem
- Pose from Projective Transformations
- Pose from Point Correspondences P3P
Practice exercises
- Visual Features
- Singular Value Decomposition
- RANSAC
- 3D-3D Pose
- Pose Estimation
Videos
- Epipolar Geometry I
- Epipolar Geometry II
- Epipolar Geometry III
- RANSAC: Random Sample Consensus II
- Nonlinear Least Squares I
- Nonlinear Least Squares II
- Nonlinear Least Squares III
- Optical Flow: 2D Point Correspondences
- 3D Velocities from Optical Flow
- 3D Motion and Structure from Multiple Views
- Visual Odometry
- Bundle Adjustment I
- Bundle Adjustment II
- Bundle Adjustment III
Practice exercises
- Epipolar Geometry
- Nonlinear Least Squares
- 3D Velocities from Optical Flow
- Bundle Adjustment
Instructors
Penn Frequently Asked Questions (FAQ's)
The course is provided by Coursera and the University of Pennsylvania.
The course curriculum is designed to be completed in 33 hours.
Yes, Financial aid is available for the students who cannot afford the course fee.
This is a self-paced learning program, you can register and start the course right away.
The course doesn’t have any mandatory prerequisites.