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Information on didactic, research and institutional assignments on this page are certified by the University; more information, prepared by the professor, are available on the personal web page and in the curriculum vitae indicated on this webpage.
Information on professor
ProfessorAmigoni Francesco
QualificationFull professor full time
Belonging DepartmentDipartimento di Elettronica, Informazione e Bioingegneria
Scientific-Disciplinary SectorING-INF/05 - Information Processing Systems
Curriculum VitaeDownload CV (163.82Kb - 03/08/2023)
OrcIDhttps://orcid.org/0000-0001-8146-6213

Contacts
Professor's office hours
DepartmentFloorOfficeDayTimetableTelephoneFaxNotes
Dipartimento di Elettronica, Informazione e Bioingegneria, Edificio 20Primo--WednesdayFrom 14:00
To 16:00
02.2399-3475----
E-mailfrancesco.amigoni@polimi.it
Professor's personal websitehttps://amigoni.faculty.polimi.it

Data source: RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano

List of publications and reserach products for the year 2023
No product yet registered in the year 2023


List of publications and reserach products for the year 2022 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Contributions on scientific books
AI, Machine Learning e Data Mining (Show >>)
Conference proceedings
MAPF and MAPD: Recent Developments and Future Directions (Show >>)
Journal Articles
A framework based on Natural Language Processing and Machine Learning for the classification of the severity of road accidents from reports (Show >>)
Reconstruction and prediction of the layout of indoor environments from two-dimensional metric maps (Show >>)
Robust Structure Identification and Room Segmentation of Cluttered Indoor Environments From Occupancy Grid Maps (Show >>)


List of publications and reserach products for the year 2021 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Contributions on scientific books
The Importance of Prediction in Designing Artificial Intelligence Systems (Show >>)
Conference proceedings
A Minimally Supervised Approach Based on Variational Autoencoders for Anomaly Detection in Autonomous Robots (Show >>)
A Natural Language Processing Method for the Identification of the Factors Influencing Road Accident Severity (Show >>)
Completing robot maps by predicting the layout of rooms behind closed doors (Show >>)
Exploration of indoor environments through predicting the layout of partially observed rooms (Show >>)
Predicting Performance of SLAM Algorithms (Show >>)
Journal Articles
A Minimally Supervised Approach Based on Variational Autoencoders for Anomaly Detection in Autonomous Robots (Show >>)
Distributed learning: a reliable privacy-preserving strategy to change multicenter collaborations using AI (Show >>)


List of publications and reserach products for the year 2020 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Conference proceedings
Exploring the Possibility of Semantic Map Data Representation as an Extension of the IEEE 2D and 3D Map Data Representation Standards (Show >>)
HMMs for Anomaly Detection in Autonomous Robots (Show >>)
Multi-agent path finding in configurable environments (Show >>)
Multirobot coverage of modular environments (Show >>)
Text mining for the automatic classification of road accident reports (Show >>)
Journal Articles
Multi-robot online sensing strategies for the construction of communication maps (Show >>)
Robot exploration of indoor environments using incomplete and inaccurate prior knowledge (Show >>)


List of publications and reserach products for the year 2019 (Show all details | Hide all details)
Type Title of the Publicaiton/Product
Abstract in Rivista
IEEE RAS Standards Update [Standards] (Show >>)
Poster
Recent Results on Information Gathering Path Planning for Autonomous Mobile Robots (Show >>)
Conference proceedings
A Bayesian network framework for operations of circuit breakers (Show >>)
A sampling-based algorithm for planning smooth nonholonomic paths (Show >>)
Aggregating models for anomaly detection in space systems: Results from the FCTMAS study (Show >>)
Exploiting inaccurate a priori knowledge in robot exploration (Show >>)
Extracting structure of buildings using layout reconstruction (Show >>)
Online Update of Communication Maps for Exploring Multirobot Systems Under Connectivity Constraints (Show >>)
Predicting the layout of partially observed rooms from grid maps (Show >>)
Robot exploration using knowledge of inaccurate floor plans (Show >>)
Journal Articles
Algorithms for limited-buffer shortest path problems in communication-restricted environments (Show >>)
An integer linear programming model for fair multitarget tracking in cooperative multirobot systems (Show >>)
Predicting the global structure of indoor environments: A constructive machine learning approach (Show >>)
manifesti v. 3.5.10 / 3.5.10
Area Servizi ICT
27/09/2023