Course DescriptonStatistical 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.
Class ActivityIn the first part of the course the instructors will offer a block of lectures to provide students with basic background knowledge on relevant issues, methodologies and techniques regarding the above topics. The evaluation will be based on class participation and on a final exam. The exam will take the form of a seminar on a set of selected papers or a project on a selected topic to be discussed with the teachers.
Docenti/Teachers: Alessandro Farinelli and Riccardo Muradore