Holiday
ENG I工一 210 FnF5F6
This course gives an overview of mobile robots and self-driving cars controlled by an artificial intelligence system that makes movement decisions autonomously using a variety of sensing data. The AI system is introduced from mathematical (machine learning and classical planning), physical (control, actuation, and dynamics), computational (algorithms and software engineering), and implemental (coding and deployment) aspects. Machine learning includes supervised (deep neural networks for visionary data) and unsupervised (for radar data) learning. AI ba<x>sed control and dynamic theories are the main focus of the course, which are emerging in robotics research. Project assignments aim at deploying students’ algorithms to a Toyota car and a wheeled robot for real-world tests.
MON | TUE | WED | THU | FRI | |
08:00108:50 | |||||
09:00209:50 | |||||
10:10311:00 | |||||
11:10412:00 | |||||
12:10n13:00 | |||||
13:20514:10 | |||||
14:20615:10 | |||||
15:30716:20 | |||||
16:30817:20 | |||||
17:30918:20 | |||||
18:30a19:20 | |||||
19:30b20:20 | |||||
20:30c21:20 |
Average GPA 3.83
Std. Deviation 1
-
-
-