LEARNING OUTCOMES

In this module, students will focus on the study of real use cases specifically related to robotics, on the basis of methodologies and insights discussed in the first module of the course

AIMS AND LEARNING OUTCOMES

The student will acquire skills in the study, development, solution of a real case study in the field of Machine Learning robotics and Data Analysis.

PREREQUISITES

Coding (Matlab/Python/R), linear algebra, probability and statistics

TEACHING METHODS

Project to be carried out independently or in groups of a maximum of two people.

SYLLABUS/CONTENT

1. Choice of a case study of Machine Learning and Data Analysis for robotics
2. Study of the state of the art and in-depth analysis of the case study
3. Case study solution through Machine Learning and Data Analysis techniques

RECOMMENDED READING/BIBLIOGRAPHY

F. X. Govers "Artificial intelligence for robotics: Build intelligent robots that perform human tasks using AI techniques" 2018