About this course: 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.
Taught by: CJ Taylor, Professor of Computer and Information Science
School of Engineering and Applied Science
| Basic Info | Course 2 of 6 in the Robotics Specialization |
| Commitment | 3 hours/week |
| Language | English, Subtitles: Spanish |
| How To Pass | Pass all graded assignments to complete the course. |
| User Ratings |
- Reading: Computational Motion Planning Honor Code
- Reading: Getting Started with MATLAB
- Reading: Resources for Computational Motion Planning
- Video: 1.2: Grassfire Algorithm
- Video: 1.3: Dijkstra's Algorithm
- Video: 1.4: A* Algorithm
- Reading: Graded MATLAB Assignments
- Video: Getting Started with the Programming Assignments
- LTI Item: Practice MATLAB Problem
- Video: 2.2: RR arm
- Video: 2.3: Piano Mover’s Problem
- Video: 2.4: Visibility Graph
- Video: 2.5: Trapezoidal Decomposition
- Video: 2.6: Collision Detection and Freespace Sampling Methods
- Video: 3.2: Issues with Probabilistic Road Maps
- Video: 3.3: Introduction to Rapidly Exploring Random Trees
- Video: 4.2: Issues with Local Minima
- Video: 4.3: Generalizing Potential Fields
- Video: 4.4: Course Summary
Each course is like an interactive textbook, featuring pre-recorded videos, quizzes and projects.
Connect with thousands of other learners and debate ideas, discuss course material, and get help mastering concepts.
Earn official recognition for your work, and share your success with friends, colleagues, and employers.
| Purchase Course | |
|---|---|
| Access to course materials | Available |
| Access to graded materials | Available |
| Receive a final grade | Available |
| Earn a shareable Course Certificate | Available |
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. The course's programming assignment grading system is pretty awful, so you will spend most of your time trying to look up for small details that doesn't behave as perfectly same as the prepared answers. Besides all of that, I love how the lecturer present the material, it is not boring and easy to understand.
The last assignment details were too vague. Spent a zhit ton of time rounding/not rounding.
The course material and videos are very good. Small bugs in the exercise can be a bit of headache. Luckily, digging the community forum there is always a high chance to solve your issue.
JZ
Awesome, clearly indicate the basic methods of path planning.