Difference between revisions of "Rawseeds"
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Project '''RAWSEEDS''' has the aim of gathering and publishing on the web: | Project '''RAWSEEDS''' has the aim of gathering and publishing on the web: | ||
*high-quality '''data sets''', obtained by exploring indoor and outdoor environments with suitably equipped mobile robots; | *high-quality '''data sets''', obtained by exploring indoor and outdoor environments with suitably equipped mobile robots; | ||
| − | *problems (called '''Benchmark Problems''' or BPs) defined on the above datasets, each of | + | *problems (called '''Benchmark Problems''' or BPs) defined on the above datasets, each of which includes methodologies to evaluate the performance of any algorithm used to solve the problem; |
| − | *algorithms (called '''Benchmark Solutions''' or BSs) that solve the BPs, along with their output when applied to the associated problems and with the results of the evaluation of such output using the | + | *algorithms (called '''Benchmark Solutions''' or BSs) that solve the BPs, along with their output when applied to the associated problems and with the results of the evaluation of such output using the methodologies defined in the BP. |
RAWSEEDS' BPs and BSs are mainly focused towards the problems of ''localization'', ''mapping'' and SLAM (Simultaneous Localization And Mapping) in robotics. As a whole, they are called ''Rawseeds' Benchmarking Toolkit'' because they can be used to assess and compare algorithms. | RAWSEEDS' BPs and BSs are mainly focused towards the problems of ''localization'', ''mapping'' and SLAM (Simultaneous Localization And Mapping) in robotics. As a whole, they are called ''Rawseeds' Benchmarking Toolkit'' because they can be used to assess and compare algorithms. | ||
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=== Internet site(s) === | === Internet site(s) === | ||
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* Transportation of heavy loads (e.g. robots). Standard safety measures described in [http://airlab.elet.polimi.it/index.php/airlab/content/download/461/4110/file/documento_valutazione_rischi_AIRLab.pdf Safety norms] will be followed. | * Transportation of heavy loads (e.g. robots). Standard safety measures described in [http://airlab.elet.polimi.it/index.php/airlab/content/download/461/4110/file/documento_valutazione_rischi_AIRLab.pdf Safety norms] will be followed. | ||
* Robot testing. Standard safety measures described in [http://airlab.elet.polimi.it/index.php/airlab/content/download/461/4110/file/documento_valutazione_rischi_AIRLab.pdf Safety norms] will be followed. | * Robot testing. Standard safety measures described in [http://airlab.elet.polimi.it/index.php/airlab/content/download/461/4110/file/documento_valutazione_rischi_AIRLab.pdf Safety norms] will be followed. | ||
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== '''Part 2: project description''' == | == '''Part 2: project description''' == | ||
Please refer to http://rawseeds.org for details, results, and everything else. | Please refer to http://rawseeds.org for details, results, and everything else. | ||
Revision as of 17:17, 25 January 2010
Rawseeds
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 | |
| Short Description: | Building a Benchmarking Toolkit for SLAM |
| Coordinator: | |
| Tutor: | MatteoMatteucci (matteo.matteucci@polimi.it), GiulioFontana (giulio.fontana@polimi.it) |
| Collaborator: | |
| Students: | |
| Research Area: | Robotics |
| Research Topic: | Benchmarking |
| Start: | 2006/11/01 |
| End: | 2009/04/30 |
| Status: | Closed |
Contents
Part 1: project profile
Project name
RAWSEEDS, or Robotics Advancement through Web-publishing of Sensorial and Elaborated Extensive Data Sets.
Project short description
Project RAWSEEDS has the aim of gathering and publishing on the web:
- high-quality data sets, obtained by exploring indoor and outdoor environments with suitably equipped mobile robots;
- problems (called Benchmark Problems or BPs) defined on the above datasets, each of which includes methodologies to evaluate the performance of any algorithm used to solve the problem;
- algorithms (called Benchmark Solutions or BSs) that solve the BPs, along with their output when applied to the associated problems and with the results of the evaluation of such output using the methodologies defined in the BP.
RAWSEEDS' BPs and BSs are mainly focused towards the problems of localization, mapping and SLAM (Simultaneous Localization And Mapping) in robotics. As a whole, they are called Rawseeds' Benchmarking Toolkit because they can be used to assess and compare algorithms.
Internet site(s)
You can learn more (and download everything that RAWSEEDS has produced until now) from the official website of the project, here: http://www.rawseeds.org. Through the website you can also upload your own Benchmark Solutions.
People involved
Project leader
Matteo Matteucci - User:MatteoMatteucci
Other Politecnico di Milano people
Giulio Fontana - User:GiulioFontana
Davide Migliore - User:DavideMigliore
Students
No students are currently involved.
External personnel:
Davide Rizzi (User:DavideRizzi) is actively working on the project.
Moreover, three foreign partners working are collaborating to the RAWSEEDS project. They are:
Albert-Ludwigs-Universität Freiburg, Germany (Institut für Informatik)
Universidad de Zaragoza, Spain (Depto. Informática e Ingeniería de Sistemas)
Università degli Studi di Milano-Bicocca, Italy (Dip. di Informatica, Sistemistica e Comunicazione), lab. I.R.A., with these people:
- prof. Domenico G. Sorrenti
- dr. Daniele Marzorati
- mr. Axel Furlan
Laboratory work and risk analysis
Laboratory work for this project will be mainly performed at AIRLab/Lambrate. It will include significant amounts of mechanical work and little electrical and electronic activity. Potentially risky activities are the following:
- Use of mechanical tools. Standard safety measures described in Safety norms will be followed.
- Use of soldering iron. Standard safety measures described in Safety norms will be followed.
- Transportation of heavy loads (e.g. robots). Standard safety measures described in Safety norms will be followed.
- Robot testing. Standard safety measures described in Safety norms will be followed.
Part 2: project description
Please refer to http://rawseeds.org for details, results, and everything else.
