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ROBOTICS USE CASES

CODE 104856
ACADEMIC YEAR 2022/2023
CREDITS
  • 1 cfu during the 2nd year of 10635 ROBOTICS ENGINEERING (LM-32) - GENOVA
  • SCIENTIFIC DISCIPLINARY SECTOR ING-INF/05
    LANGUAGE English
    TEACHING LOCATION
  • GENOVA
  • SEMESTER 1° Semester
    MODULES This unit is a module of:
    TEACHING MATERIALS AULAWEB

    OVERVIEW

    This module is dedicated to the study by the student of a specific use case of Machine Learning and Data Analysis related to robotics

    AIMS AND CONTENT

    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

    TEACHERS AND EXAM BOARD

    LESSONS

    Class schedule

    All class schedules are posted on the EasyAcademy portal.

    EXAMS

    EXAM DESCRIPTION

    Oral by appointment

    Students with learning disorders ("disturbi specifici di apprendimento", DSA) will be allowed to use specific modalities and supports that will be determined on a case-by-case basis in agreement with the delegate of the Engineering courses in the Committee for the Inclusion of Students with Disabilities.

    ASSESSMENT METHODS

    The student will solve a real problem at will (specifically related to robotics) by applying the techniques learned during the first module of the course.

    Exam schedule

    Date Time Location Type Notes