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Avis et commentaires pour d'étudiants pour Robotics: Perception par Université de Pennsylvanie

4.4
étoiles
545 évaluations
145 avis

À propos du cours

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 features and optical flow. Such 2D representations allow us then to extract 3D information about where the camera is and in which direction the robot moves. You will come to understand how grasping objects is facilitated by the computation of 3D posing of objects and navigation can be accomplished by visual odometry and landmark-based localization....

Meilleurs avis

SK

Apr 01, 2018

Outstanding Course! I could always count on Prof.Jianbo to crunch some of the most complex and confusing parts of the course into a much easier understandable language.

RS

Jun 19, 2016

Excellent organization and presentation of the course material, and very prompt responses from the teaching staff on the message boards.

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51 - 75 sur 141 Avis pour Robotics: Perception

par 陈鹏

Jan 11, 2017

very good, I love this course, I learned many knowledge from it

par Hakeem K

Mar 05, 2019

I was motivated all through the course. Very good content

par UMAR T

Mar 05, 2020

Lot of linear algebra, calculus and matlab assignments

par dawn

Mar 12, 2019

Thanks to Coursera and Penn, Good lessons of Robotics.

par Junheng Z

Aug 09, 2016

It is great. Teacher explain those idea clearly

par Muhammad N

May 10, 2020

Good experience while studying this course

par qiang l

Dec 30, 2016

Very useful course, interesting topics !

par Troy W

May 11, 2016

Very solid material, a must-have course.

par Chuck

May 16, 2017

pretty good for vision based perception

par Lihao W

Jun 30, 2018

Good course but a little hard for me.

par Shawfy

Sep 18, 2018

Extremely wonderful the coursera is.

par Walter J

Apr 25, 2016

Apasionante tema. Muy bien expuesto

par Yuan J

Aug 15, 2018

excellent course for slam learning

par Akhilesh K

Sep 01, 2017

Challenging and enjoyable course!

par Guillermo C

Aug 21, 2017

Challenging, very well delivered.

par K0r01

Dec 29, 2017

good materials for visual SLAM

par jiqirenzhifu

Aug 28, 2017

I have gained a lot 。thank you

par Qiu Q

Jun 20, 2016

very good assignment!

par Terry Z

Jan 12, 2018

Very useful course!

par 徐恩科

Sep 05, 2018

very good course.

par Ng B K

Aug 06, 2016

Love the course.

par Daniel W

Jan 02, 2017

Great course!

par Aryan A

Aug 20, 2018

Great course

par 张浩悦

Aug 31, 2017

very

good!!!!

par Xu D

May 27, 2019

Love this!