课程概述
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.
热门审阅
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.
LR
Jan 01, 2019
This is quite challenging course. So far, this is the course with the largest amount of material, I wish the class will be split into two courses.
筛选依据：
126 - Robotics: Perception 的 127 个评论（共 127 个）
创建者 Guney K
•Jan 22, 2020
Compared to other courses I've taken on Coursera (15+) this was very poor quality - both the content and presentation. I wish there were better a better course on this topic on Coursera.
创建者 Dení S
•Sep 08, 2019
To difficult to follow.
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