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學生對 宾夕法尼亚大学 提供的 Robotics: Perception 的評價和反饋

4.4
586 個評分
158 條評論

課程概述

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....

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SK
2018年3月31日

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
2021年1月4日

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.

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76 - Robotics: Perception 的 100 個評論(共 154 個)

創建者 Ng B K

2016年8月6日

Love the course.

創建者 Daniel W

2017年1月2日

Great course!

創建者 Aryan A

2018年8月20日

Great course

創建者 张浩悦

2017年8月31日

very

good!!!!

創建者 Xu D

2019年5月27日

Love this!

創建者 Meshal A

2017年5月30日

Fantastic!

創建者 Bálint - H F

2019年3月20日

Great !

創建者 杨镑镑

2016年8月18日

Great!

創建者 Eduardo K d S

2016年9月16日

This course is great! There is a lot of information available, a wide range of topics are covered, some complex subjects are explained quite well and especially the Chinese professor makes it easy to understand them.

Still, there is room for improvement. Considering this is a 4-week course and the coverage of the material, sometimes it feels too squeezed and cramped together. This could be improved by providing access to more references to other materials to complement the studies. A bibliography for instance would be much welcome.

Also there are some annoying typos in the slides in the formulas and its derivations that can cost you some precious time to figure out, especially during the Matlab assignments.

These are the only reasons I don't give this course 5 stars, but it's definitely worthwhile. You will not regret it!

創建者 Sourav G

2018年2月20日

It was really an interesting course and is recommended for those interested in Vision-based applications for their robots, especially dealing with motion estimation, visual odometry, visual SLAM, image matching using local point features (SIFT) etc. The course did help a lot in brushing up some concepts from undergrad and using them to create some amazing codes through assignments.

There are few things that can be improved, for example, some of the videos in the course lack proper explanation and it took a while to understand. Some of the quizzes comprise questions to which answers cannot be derived using the course content (AFAIU). The inverse depth parameterization-based direct pose estimation is not covered (e.g. as in LSD-SLAM).

創建者 Liang M

2017年4月17日

A very good course in general. The materials and assignments are practical and the explanation of the instructors are clear. You are expect to gain a general knowledge about computer vision, camera calibration, and the usage of linear algebra in computer vision.

One thing that could be improved is that there is a big jump from week 2 to week 3 and also from week 3 to week 4. It's like a sophomore course at week 1 and week 2 and suddenly it jumps to a senior course in week 3 and a graduate course in week 4. It might be better to provide some supplementary materials in between.

創建者 Berke

2020年10月11日

This course offers great way to begin with vision based applications such as visual odometry - slam i came this course because i wanted to learn math background about multiview geometry and algorithms such visual odometry and i learned a lot during the course (also made me realize that i need to study more math). The one setback about this course is that some part of this(week 2-3 mostly) course can be improved.

創建者 Fernando C

2016年5月17日

This course has a lot of interesting material regarding perception using cameras. The lectures focus on a wide range of topics, from the basics until camera pose estimation, epipolar geometry, optical flow and 3D motion. The explanations are very clear, and the Jacobian explanation using colors is excellent.

Negative points: sometimes the lectures are long, and the concepts are a little bit mixed.

創建者 Qirui Z

2019年6月6日

Still some errors in the homework PDF (The codes are all working though). And the curriculum seems a little bit redundant. Also hope there will be more emphasis on emerging applications like visual odometry and SLAM, in stead of spending too much time on the ancient geometry (It's not expected to always have a checkerboard in your image? :-) ).

創建者 Matthew P

2018年5月3日

The course was very detailed but perhaps a little too densely packed for a 4 week course. The instructors covered a very wide breadth of material in a very short time. I believe the instruction for the final assignment could be improved, but overall a good class introducing many important concepts in robotics and vision systems.

創建者 Shaun K

2017年4月4日

Loved the lecture and materials. However, the course need more ACTIVE teaching staff and mentors. I had several questions regarding the materials but could not get any help from start to the end. It was the only specialization course that I had to move on without complete understanding of the materials.

創建者 Lucila P

2016年11月4日

The course has a good structure. It covers interesting themas. The assignments are easy to understand. It takes more effort than 3 or 5 hours/week, the nomenclatur could be improved to be consistent. A couple of more examples would improve learning. The four week was hard ;)

創建者 LOKESH G

2019年5月8日

The course content is exceptionally well and material is well designed. Since most of the concepts are in-depth more support will be required in discussion forums. I feel the response from mentors is slow and have to wait days for their reply to clarify the doubts.

創建者 Soon H Y

2020年4月26日

PROS: Introduces the most practical and essential concepts and algorithms

CONS: The workload is not evenly distributed across all 4 weeks, lecturer's explanation is mediocre and materials can be hard to follow.

創建者 hiback

2018年12月19日

The lecture is pretty good, learned a lot from it.But there are some bugs in assignment's pdf. Fortunately, our community forum pointed out these errors. Hoping they could fix it for better understanding.

創建者 Adi S

2019年11月9日

The content is quite useful but the teaching can be improved upon through shorter videos and more animations instead of hand gestures (or static images) to explain mathematical derivations.

創建者 SHAO G

2017年6月16日

The content is not very easy to understand because the lecture speaks very fast and the document is not very sufficient. But in all, the content is good, help me with my research.

創建者 Deepak Y

2020年3月28日

The concepts were explained very well and clearly. The last week content seemed a bit complicated to follow, but it was not unsolvable. I enjoyed the course. Thank you!

創建者 Liyun L

2017年2月26日

The 4th week content is hard to follow than the previous three. It would be better if more detailed math and examples are provided in the 4th week.

創建者 Shengkai Z

2018年10月26日

Subtitles are generated by machines I think. Very many subtitles are wrong. It is very unfriendly to non-English speaking users.