Suchergebnisse - "Francesco Amigoni"

Hierarchical Token Passing Algorithm for Multi-Agent Pickup and Delivery

Autoren: Marcello Bavaro Francesco Amigoni

Quelle: 2025 European Conference on Mobile Robots (ECMR). :1-8

A Deadlock-Free Solution for Multi-Agent Pickup and Delivery in Presence of External Agents

Autoren: Benedetta Flammini Mustafa Çağatay Sipahioğlu Francesco Amigoni

Quelle: 2025 European Conference on Mobile Robots (ECMR). :1-6

Multi-Agent Pickup and Delivery with Batteries

Autoren: Marcello Bavaro Francesco Amigoni

Quelle: 2025 European Conference on Mobile Robots (ECMR). :1-8

Domain Adversarial Neural Networks for Remaining Useful Life Estimation of Lithium-Ion Batteries

Autoren: Luca Martiri Giuseppe Meli Luca Pasquarelli et al.

Quelle: 2024 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE). :640-645

Trustworthy Inductive Knowledge for Tropical Cyclones Formation Detection

Autoren: Marco Adriano Ferrero Davide Azzalini Matteo Giuliani et al.

Quelle: Communications in Computer and Information Science ISBN: 9783031893650

A Transfer Learning Approach for Remaining Useful Life Estimation of Lithium-Ion Batteries

Autoren: Luca Martiri Davide Azzalini Loredana Cristaldi et al.

Quelle: 2024 IEEE International Workshop on Metrology for Industry 4.0 & IoT (MetroInd4.0 & IoT). :557-561

An empirical evaluation of learning-based multi-agent path finding algorithms in warehouse environments

Autoren: Andrea Giuffrida Nicola Basilico Francesco Amigoni

Quelle: Robotics and Autonomous Systems. 194:105149

Special Topics in Information Technology

Autoren: Francesco Amigoni

Resource Type: eBook.

Schlagworte: Automatic control, Data structures (Computer science), Information technology, Electrical engineering

Categories: TECHNOLOGY & ENGINEERING / Electrical, COMPUTERS / Hardware / General, TECHNOLOGY & ENGINEERING / Biomedical

Adversarial Data Augmentation for HMM-Based Anomaly Detection

Autoren: Alberto Castellini Francesco Masillo Davide Azzalini et al.

Quelle: IEEE Transactions on Pattern Analysis and Machine Intelligence. 45:14131-14143

Schlagwörter: Adversarial learning, anomaly detection, cyber-physical systems, data augmentation, HMMs, robotic systems

Dateibeschreibung: application/pdf

Zugangs-URL: https://pubmed.ncbi.nlm.nih.gov/37549079
https://hdl.handle.net/11562/1113686
https://ieeexplore.ieee.org/document/10210524?denied=
https://doi.org/10.1109/TPAMI.2023.3303099

Multi-Agent Pickup and Delivery with external agents

Autoren: Luca Bonalumi Benedetta Flammini Davide Azzalini et al.

Quelle: Robotics and Autonomous Systems. 191:105000

A framework based on Natural Language Processing and Machine Learning for the classification of the severity of road accidents from reports

Autoren: Dario Valcamonico Piero Baraldi Francesco Amigoni et al.

Quelle: Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability. 238:957-971

Schlagwörter: 11. Sustainability, 0211 other engineering and technologies, 02 engineering and technology, 3. Good health

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/11311/1227409
https://doi.org/10.1177/1748006X221140196

A Minimally Supervised Approach Based on Variational Autoencoders for Anomaly Detection in Autonomous Robots

Autoren: Davide Azzalini Luca Bonali Francesco Amigoni

Quelle: IEEE Robotics and Automation Letters. 6:2985-2992

Schlagwörter: 0209 industrial biotechnology, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Dateibeschreibung: application/pdf

Zugangs-URL: https://dblp.uni-trier.de/db/journals/ral/ral6.html#AzzaliniBA21
https://re.public.polimi.it/handle/11311/1183718
https://ieeexplore.ieee.org/document/9364363
https://doi.org/10.1109/LRA.2021.3062597
https://hdl.handle.net/11311/1183718
https://doi.org/10.1109/LRA.2021.3062597
https://hdl.handle.net/11311/1208072

An empirical evaluation of deep autoencoders for anomaly detection in the electricity consumption of buildings

Autoren: Davide Azzalini Benedetta Flammini Claudio Alfredo Emanuele et al.

Quelle: Energy and Buildings. 327:115069

Distributed learning: a reliable privacy-preserving strategy to change multicenter collaborations using AI

Autoren: Margarita Kirienko Martina Sollini Gaia Ninatti et al.

Quelle: Eur J Nucl Med Mol Imaging

Schlagwörter: Distributed learning, Ethics, 0301 basic medicine, Databases, Factual, Federated learning, Review Article, 3. Good health, Clinical trial, Machine Learning, 03 medical and health sciences, 0302 clinical medicine, Privacy, Research Design, Machine learning, Humans, Multicenter Studies as Topic, Algorithms

Dateibeschreibung: application/pdf

Zugangs-URL: https://link.springer.com/content/pdf/10.1007/s00259-021-05339-7.pdf
https://pubmed.ncbi.nlm.nih.gov/33847779
https://link.springer.com/content/pdf/10.1007/s00259-021-05339-7.pdf
https://europepmc.org/article/PMC/PMC8041944
http://www.ncbi.nlm.nih.gov/pubmed/33847779
https://link.springer.com/article/10.1007/s00259-021-05339-7
https://iris.hunimed.eu/handle/11699/62253
https://hdl.handle.net/20.500.11768/140497
https://link.springer.com/article/10.1007/s00259-021-05339-7
https://doi.org/10.1007/s00259-021-05339-7
https://hdl.handle.net/11311/1204492
https://doi.org/10.1007/s00259-021-05339-7

MAPF and MAPD: Recent Developments and Future Directions

Autoren: Francesco Amigoni Davide Azzalini Nicola Basilico et al.

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/11311/1232809

AI, Machine Learning e Data Mining

Autoren: Andrea Bonarini Cesare Alippi MArco Colombetti et al.

Schlagwörter: Machine Learning, Intelligenza Artificiale, Data Mining

Dateibeschreibung: application/pdf

Zugangs-URL: https://hdl.handle.net/11311/1209073

Predicting Performance of SLAM Algorithms

Autoren: Matteo Luperto Valerio Castelli Fabio Bonsignorio et al.

Weitere Verfasser: Matteo Luperto Valerio Castelli Fabio Bonsignorio et al.

Relation: ispartofbook:Artificial Intelligence and Robotics workshop at AI*IA (Italian Association for Artificial Intelligence); Artificial Intelligence and Robotics workshop at AI*IA (Italian Association for Artificial Intelligence); firstpage:1; lastpage:6; numberofpages:6; http://hdl.handle.net/11311/1208076

Verfügbarkeit: http://hdl.handle.net/11311/1208076

Robust Structure Identification and Room Segmentation of Cluttered Indoor Environments From Occupancy Grid Maps

Autoren: Matteo Luperto Tomasz Piotr Kucner Andrea Tassi et al.

Weitere Verfasser: Matteo Luperto Tomasz Piotr Kucner Andrea Tassi et al.

Schlagwörter: Mapping, room segmentation, Settore INF/01 - Informatica, Settore ING-INF/05 - Sistemi di Elaborazione delle Informazioni, Settore INFO-01/A - Informatica, Settore IINF-05/A - Sistemi di elaborazione delle informazioni

Relation: info:eu-repo/semantics/altIdentifier/wos/WOS:000838441200025; volume:7; issue:3; firstpage:7974; lastpage:7981; numberofpages:8; journal:IEEE ROBOTICS AND AUTOMATION LETTERS; https://hdl.handle.net/2434/932526

Verfügbarkeit: https://hdl.handle.net/2434/932526
https://doi.org/10.1109/lra.2022.3186495

HMMs for Anomaly Detection in Autonomous Robots

Autoren: Davide Azzalini Alberto Castellini Matteo Luperto et al.

Weitere Verfasser: Davide Azzalini Alberto Castellini Matteo Luperto et al.

Schlagwörter: HMM, Anomaly detection, Hellinger distance, online inference, mobile robot, robot behavior

Dateibeschreibung: ELETTRONICO

Relation: info:eu-repo/semantics/altIdentifier/isbn/978-1-4503-7518-4; ispartofbook:Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2020); ADAPTIVE AGENTS AND MULTI-AGENTS SYSTEMS; firstpage:105; lastpage:113; numberofpages:9; alleditors:B. An, N. Yorke-Smith, A. El Fallah Seghrouchni, G. Sukthankar; http://hdl.handle.net/11562/1016951; http://ifaamas.org/Proceedings/aamas2020/pdfs/p105.pdf

Verfügbarkeit: http://hdl.handle.net/11562/1016951
http://ifaamas.org/Proceedings/aamas2020/pdfs/p105.pdf

Multirobot coverage of modular environments

Autoren: Mirko Salaris Alessandro Riva Francesco Amigoni et al.

Weitere Verfasser: Mirko Salaris Alessandro Riva Francesco Amigoni et al.

Schlagwörter: multi-traveling salesperson problem, mTSP, modular environment, multirobot systems

Dateibeschreibung: ELETTRONICO

Relation: info:eu-repo/semantics/altIdentifier/isbn/978-1-4503-7518-4; ispartofbook:AAMAS 2020 Proceedings; AAMAS; firstpage:1178; lastpage:1186; numberofpages:9; http://hdl.handle.net/11311/1146054; http://ifaamas.org/Proceedings/aamas2020/pdfs/p1178.pdf

Verfügbarkeit: http://hdl.handle.net/11311/1146054
http://ifaamas.org/Proceedings/aamas2020/pdfs/p1178.pdf