Chevron Left
Volver a Robotics: Perception

Opiniones y comentarios de aprendices correspondientes a Robotics: Perception por parte de Universidad de Pensilvania

4.4
estrellas
585 calificaciones
157 reseña

Acerca del Curso

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....

Principales reseñas

SK
31 de mar. de 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.

SM
4 de ene. de 2021

Great course for those who wants to understand how classical SLAM systems work. I think it would be a bit more practical if the assignments were made in python.

Filtrar por:

151 - 154 de 154 revisiones para Robotics: Perception

por Dení S

8 de sep. de 2019

To difficult to follow.

por Celso L B d M

13 de ene. de 2021

The English of the teachers is god awful and the explanations are even worse. Honestly do not recommend this course. Try instead the perception course at the U of Toronto self-driving car specialization.

por Akash S

3 de may. de 2020

Very bad communication pronunciation and grammar

por Matthias K

5 de sep. de 2020

I need help