Difference between revisions of "User:FrancescoAmigoni"

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{{Prof
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|category=Prof
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|firstname=Francesco
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|lastname=Amigoni
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|photo=AMIGONI.jpg
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|email=francesco.amigoni@polimi.it
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|resarea=Agents, Multiagent Systems, Agencies; Philosophy of Artificial Intelligence; Robotics
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|status=active
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}}
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[http://home.dei.polimi.it/amigoni/ Web page at DEI with curriculum, publications, teaching, ...]
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==Project and thesis proposals==
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===Agents and Multiagent Systems===
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{{#ask: [[Category:ProjectProposal]]
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[[PrjResArea::Agents, Multiagent Systems, Agencies]] [[prjStatus::Active]] [[PrjTutor::User:{{PAGENAME}}]]
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|?PrjTitle | ?PrjImage | ?PrjDescription | ?PrjTutor | ?PrjStarts | ?PrjStudMin | ?PrjStudMax
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|?PrjCFUMin | ?PrjCFUMax | ?PrjResArea | ?PrjResTopic | ?PrjLevel | ?PrjType |
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|format = template | template = Template:ProjectProposalVizSlim
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}}
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===Robotics and Computer Vision===
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{{#ask: [[Category:ProjectProposal]]
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<q>[[PrjResArea::Robotics]] OR [[PrjResArea::Computer Vision and Image Analysis]]</q>
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[[prjStatus::Active]] [[PrjTutor::User:{{PAGENAME}}]]
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|?PrjTitle | ?PrjImage | ?PrjDescription | ?PrjTutor | ?PrjStarts | ?PrjStudMin | ?PrjStudMax
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|?PrjCFUMin | ?PrjCFUMax | ?PrjResArea | ?PrjResTopic | ?PrjLevel | ?PrjType |
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|format = template | template = Template:ProjectProposalVizSlim
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}}
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==List of advised PhD students==
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{{#ask: [[hasAdvisor::User:{{PAGENAME}}]] [[Category:PhD]]|format=ul}}
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List of advised Bs/Ms students:
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{{#ask: [[hasAdvisor::User:{{PAGENAME}}]] [[Category:Student]]|?projectpage=| format=ul}}

Latest revision as of 12:44, 31 December 2012

warning.png"Agents, Multiagent Systems, Agencies" is not in the list of possible values (Affective Computing, Agents - Multiagent Systems - Agencies, BioSignal Analysis, Computational Intelligence and Games, Computer Vision and Image Analysis, E-Science, Machine Learning, Philosophy of Artificial Intelligence, Robotics, Social Software and Semantic Web) for this property.
Francesco Amigoni
Foto di FrancescoAmigoni
E-Mail: francesco.amigoni@polimi.it
Research Areas:

Web page at DEI with curriculum, publications, teaching, ...


Project and thesis proposals

Agents and Multiagent Systems

Wiki Page: 3D Scene Understanding
FreeCamera.png

Title: 3D Indoor scene understanding and layout reconstruction for a mobile robot in collaboration with UnimiB
Description: The proposed project aims to reconstruct the 3D structural layout of an indoor environment perceived by a mobile robot. From the sensorial data, the robot should be able to reconstruct a geometrical structure of an indoor environment (e.g., an office).

Methods for indoor layout reconstruction must be significantly more tolerant to missing data than their outdoor counterparts, since environments such as offices and apartments exhibit extremely high levels of clutter, which typically results in heavy occlusions of walls and other structures of interest, large-scale artifacts, noise and missing data. The proposed work will be developed in collaboration with IRALAB, the Robotics Lab of University of Milano Bicocca.

The work will be based on an existing project, Free Your Camera (http://www.ira.disco.unimib.it/research/robotic-perception-research/free-your-camera-3d-indoor-scene-understanding-from-arbitrary-camera-motion/) and will be part of a robotic framework based on with ROS and in development at IRALAB.
Tutor: FrancescoAmigoni, MatteoLuperto
Additional Info: CFU 10 - 20 / Master of Science / Thesis

warning.png"Agents, Multiagent Systems, Agencies" is not in the list of possible values (Affective Computing, Agents - Multiagent Systems - Agencies, BioSignal Analysis, Computational Intelligence and Games, Computer Vision and Image Analysis, E-Science, Machine Learning, Philosophy of Artificial Intelligence, Robotics, Social Software and Semantic Web) for this property.

Robotics and Computer Vision

Wiki Page: 3D Scene Understanding
FreeCamera.png

Title: 3D Indoor scene understanding and layout reconstruction for a mobile robot in collaboration with UnimiB
Description: The proposed project aims to reconstruct the 3D structural layout of an indoor environment perceived by a mobile robot. From the sensorial data, the robot should be able to reconstruct a geometrical structure of an indoor environment (e.g., an office).

Methods for indoor layout reconstruction must be significantly more tolerant to missing data than their outdoor counterparts, since environments such as offices and apartments exhibit extremely high levels of clutter, which typically results in heavy occlusions of walls and other structures of interest, large-scale artifacts, noise and missing data. The proposed work will be developed in collaboration with IRALAB, the Robotics Lab of University of Milano Bicocca.

The work will be based on an existing project, Free Your Camera (http://www.ira.disco.unimib.it/research/robotic-perception-research/free-your-camera-3d-indoor-scene-understanding-from-arbitrary-camera-motion/) and will be part of a robotic framework based on with ROS and in development at IRALAB.
Tutor: FrancescoAmigoni, MatteoLuperto
Additional Info: CFU 10 - 20 / Master of Science / Thesis


List of advised PhD students


List of advised Bs/Ms students:

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