PhD in Computer Science

PhD Course on " Statistical Filtering and Control for AI and Robotics"

Period
from November 2 to November 11

Series to which this belongs

29° ciclo
30° ciclo
31° Ciclo
32° Ciclo

Description

Course Description:
Statistical filtering and control are both well studied topics in computer science and engineering. In particular, filtering and control are crucial components for two important and highly related fields:
Robotics and Artificial Intelligence.
This course will provide an introduction to the most widely used models and approaches to perform filtering and control in robotics and AI. In more detail, the course will first provide the basics of probability and statistical filtering and then present algorithms and approaches to planning, control and exploration for robotics platforms.

Attachments

Documents
  • pdf   Flyer   (pdf, it, 99 KB, 12/10/16)