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Volver a Robotics: Computational Motion Planning

Robotics: Computational Motion Planning, Universidad de Pensilvania

4.2
703 calificaciones
184 revisiones

Acerca de este Curso

Robotic systems typically include three components: a mechanism which is capable of exerting forces and torques on the environment, a perception system for sensing the world and a decision and control system which modulates the robot's behavior to achieve the desired ends. In this course we will consider the problem of how a robot decides what to do to achieve its goals. This problem is often referred to as Motion Planning and it has been formulated in various ways to model different situations. You will learn some of the most common approaches to addressing this problem including graph-based methods, randomized planners and artificial potential fields. Throughout the course, we will discuss the aspects of the problem that make planning challenging....

Principales revisiones

por FC

Nov 28, 2018

The course was challenging, but fulfilling. Thank you Coursera and University of Pennsylvania for giving this wonderful experience and opportunity that I might not experience in our local community!

por AD

Jul 03, 2018

The topic was very interesting, and the assignments weren't overly complicated. Overall, the lesson was fun and informative , despite the bugs in the learning tool(especially, the last assignment.)

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179 revisiones

por Prahlad Kumar Sahu

Feb 20, 2019

if you are passionate about robotics you should try this.

por chris schulz

Feb 03, 2019

Topics covered are good, but need the following:

1) More detail in the lecture related to the exercises, with detailed examples in the lecture.

2) Much more detail in the end of week exercises including a writeup explaining the approach and code (as was the case in Dr. K's quadcoper course)

3) Revise or abandon the current autograder. The feedback is extremely poor to non existent when your code is not working.

3) Redo the code examples -- Too much time is spent attempting to understand what the provided code is for, what relation it has to the other files provided, and where the bugs in the code are. For example, I spent the majority of my week doing code archeology as subsequent debugging as no documentation is provided for the multiple files provided. As such, 80% time saving could be had if these recommendations were put into place.

As well, please use a traditional Matlab approach, not the we based excercise tool. I was only able to proceed in my excercies by using the Coursera provided Matlab desktop as well as and Octave as the web based exercise tool failed to provide insight into what was occurring when errors were present.

4) Provide more timely assistance. The TA assistance is very poor to non existant. When it was available, the assistance was not helpful as the answers did not address the question. On this note, I suspect that many students withdrew from the class as they could not get needed assistance to complete the assignments.

por Nikola Mandic

Jan 27, 2019

its good that there are tips in the forum

some of the assignments have their quirks

there is always a thing in any school how much people separate technicalities from assignment story

some tend to make assignment that abstracts much of technical hurdles in interest of the course

some leave quirks related to tech with forum help the latter is kinda eliminated to good degree

thanks for the course its great

por Charulaxmi Fadnavis

Dec 27, 2018

Good coverage and explanation of various algorithms.

por Fredo P. Chavez

Nov 28, 2018

The course was challenging, but fulfilling. Thank you Coursera and University of Pennsylvania for giving this wonderful experience and opportunity that I might not experience in our local community!

por Tianyi Zhang

Oct 30, 2018

Great lecture

por Aditya Rauniyar

Oct 09, 2018

There should be more materials for completing the assignment problems. I find it Insufficient. The course overall is great!

por Vu Nhat Minh

Sep 19, 2018

Really good course but not too deeply knowledge in Motion Planning

por Joaquin Rincon

Sep 05, 2018

Good course. Easy to understand and with reasonable mat lab assigments

por Taimoor Daud Khan

Aug 28, 2018

Course content is very good however topics should be covered in much detail. Frequent bugs in programming assignments is also a concern.