Description
Autonomous Robots: Model Predictive Control is a self-driving car artificial intelligence training course published by Yodemy Online Academy. In this training course, you will build a self-driving artificial intelligence car that will be able to obey speed limits, park in suitable spaces and avoid obstacles. During this enjoyable process, you don’t need a high level of knowledge in coding and robotics because this training course will teach you all the topics you need to get started. In this training course, you will not only get acquainted with theoretical topics, but you will be able to implement it in real examples and test it. This training course is designed in such a way that you will learn the necessary skills and knowledge through practical work and performing various tests.
With the simulation that you will make in this training course, you will be able to check your algorithms on different vehicles. Conceptual control and prediction are essential to understanding all areas of robotics, but with this course it will not be difficult to learn. In this training course, all topics will be fully explained so that you can understand it at any level. By the end of this training course, you have improved your knowledge and gained more skills in the field of robotics.
What you will learn in the Autonomous Robots: Model Predictive Control training course:
- Building artificial intelligence for self-driving cars
- Algorithm review
- Build a simulation
- Adding capabilities such as obeying speed limits, parking in suitable spaces and avoiding obstacles
- And …
Course details
Publisher: Yudmi
teacher: Daniel Stang, MSc
English language
Training level: introductory to advanced
Number of courses: 17
Training duration: 3 hours and 49 minutes
Course headings
Autonomous Robots: Model Predictive Control course prerequisites
No requirements! Knowledge of coding or Python will help but not required.
Course images
Autonomous Robots: Model Predictive Control course introduction video
Installation guide
After Extract, view with your favorite Player.
Subtitle: None
Quality: 1080p
download link
Password file(s): www.downloadly.ir
Size
456 MB
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