Autonomous Robots: Model Predictive Control
Autonomous Robots: Model Predictive Control
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 3h 49m | 584 MB
Instructor: Daniel Stang
.MP4, AVC, 1920x1080, 30 fps | English, AAC, 2 Ch | 3h 49m | 584 MB
Instructor: Daniel Stang
Build a self-driving car and program it to follow the speed limit, pull into parking spaces, and avoid obstacles
Learn
Design and implement a Model Predictive Controller for an autonomous vehicle
Program a self-driving car pull into a parking space
Make a self-driving car follow the speed limit
Program a self-driving car to avoid obstacles
About
This course takes a practical, hands-on approach to teach you all about Model Predictive Control. MPC is crucial for solving a wide range of robotics as well as non-robotics problems. To enhance your learning experience, the author has created a simulator that will allow you to code an entire Model Predictive Controller and see the results of your work in real time. The objective of this course is to help you implement MPC in code and understand the MPC logic intuitively.
All the code and supporting files for this course are available here: https://github.com/PacktPublishing/Autonomous-Robots-Model-Predictive-Control
Features
Manage the speed of your autonomous vehicle on a highway
Learn how to park the vehicle
Avoid obstacles that are on the road in the way
Autonomous Robots: Model Predictive Control
