151-0664-00L  Artificial Intelligence for Robotics

SemesterSpring Semester 2017
LecturersI. Gilitschenski, C. D. Cadena Lerma, R. Siegwart
Periodicityyearly recurring course
Language of instructionEnglish

AbstractThis course provides tools from statistics and machine learning enabling the participants to deploy them as part of typical perception pipelines. All methods provided within the course will be discussed in context of and motivated by example applications from robotics. The accompanying exercises will involve implementations and evaluations using typical robotic datasets.
ObjectiveWorking knowledge of basic methods from statistics and machine learning.
ContentProbability Recap; Basic Concepts of Machine Learning; Regression; Dimensionality Reduction; Clustering; Support Vector Machines; Deep Learning;
Lecture notesAll relevant materials will be made available through the website of the course.
LiteratureWill be announced in the first lecture.
Prerequisites / NoticeThe students are expected to be familiar with the following material: Lecture on Recursive Estimation / Basic Knowledge of C++ / Good understanding of elementary probability and linear algebra. The number of participants is limited to 50. Enrolment is only valid through registration on the ASL website (www.asl.ethz.ch) and will open on 12 December 2016.