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Robotics

Robotics,

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.
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Rating 3.6 based on 161 ratings
Length 5 weeks
Effort 3 hours/week
Starts Aug 24 (4 weeks ago)
Cost $49
From University of Pennsylvania via Coursera
Instructor CJ Taylor
Download Videos On all desktop and mobile devices
Language English
Subjects Engineering Mathematics
Tags Physical Science And Engineering Mechanical Engineering Math And Logic

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What people are saying

motion planning

The course is really a brief introduction to the world of motion planning, so the course content is so little that you can finish it in 2-3 days, really.

Though the code templates are not perfect, and sometimes we may waste some time on debugging, I still learn quite a lot on motion planning from this course.Accompanied with Control of Mobile Robot from Geo Tech also in Coursera, a better understanding on these problems can be developed.

This brief course is the perfect introduction to motion planning methods.

A good course that gives you a brief info on various motion planning methods.

Very good introduction to motion planning algorithms.

can be much better with little bit of more explanations and more relevant resources for help Best Course for getting an introduction of computational motion planning.

Four-week study gives a general introduction of several motion planning techniques.

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programming assignments

But, the programming assignments need a lot of improvement !!!

The programming assignments and some grading were in my opinion too strict.

Videos are mostly conceptual yet superficial while programming assignments give a feel for the technicalities involved.

For the moment I finished it biggest problem was very unclear grading of programming assignments and lack of learning materials.

And the programming assignments are just so-so.

Quizes are too easy, programming assignments still have bugs, and grading procedures cause a lot of confusion.

Compare this to the Aerial Robotics course where the quizzes took time and forced me to think and understand what was discussed in lecture.The programming assignments were shockingly bad.

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easy to understand

easy to understand, fundamental course on motion planning Awesome, clearly indicate the basic methods of path planning.

Besides all of that, I love how the lecturer present the material, it is not boring and easy to understand.

A good introduction for computational motion planning, and easy to understand.

The course material is complete, interesting and easy to understand.

简单,好理解。从基础的算法开始,路径规划的思想很有意思。 Prof. Taylor's lectures were clear and easy to understand.

The explanations of the algorithms and concepts was clear and easy to understand.

CJ Taylor is an enthusiastic lecturer and the material was presented in an enjoyable easy to understand way and having finished the course, I definitely want to learn more about computational motion planning.

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very good

The course material and videos are very good.

Very good course!

Very good course, I wish it had been a little longer.

Very good introduction course for motion planning.

Very good material and cool assignments.

The quality of the MATLAB exercises is very good with few issues here and there.

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Careers

An overview of related careers and their average salaries in the US. Bars indicate income percentile.

QA TUBE FABRICATION ROBOTIC WELDER $61k

Robotic Welder $63k

RPA (Robotic Process Automation) Developer $63k

Robotic Process Automation (RPA) Architec $65k

NASA Mechanical and Robotic Systems Instructor $74k

Field Robotic Application Engineer - Technical Sales $74k

Robotic Engineer $75k

Robotic Implementation Specialist $75k

Robotic Camera Operations $76k

Project Procurement Specialist Robotic, Conveyor and Metal Structures $77k

Camera (Studio, Hand Held, & Robotic), Teleprompter & Utility $87k

Software and Robotic Systems Engineer $107k

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Rating 3.6 based on 161 ratings
Length 5 weeks
Effort 3 hours/week
Starts Aug 24 (4 weeks ago)
Cost $49
From University of Pennsylvania via Coursera
Instructor CJ Taylor
Download Videos On all desktop and mobile devices
Language English
Subjects Engineering Mathematics
Tags Physical Science And Engineering Mechanical Engineering Math And Logic

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