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contact [2010/06/08 13:44]
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contact [2010/06/14 10:11] (current)
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 +==== Office ====
-<html> +Visit us on Stanford Campus: \\ \\
-<table align="right" border="0" width="200"><tr><td width="10"><td align="center">+
-<table align="center" border="1" frame="box" cellpadding="20" bgcolor="#EEEEEE"><tr><td align="center"> +Gates Computer Science Building\\ 
-<table align="center" border="0" cellspacing="0"> +353 Serra Mall, Room 244 \\ 
-<tr><td width="0"></td><td align="center"> +Stanford, CA 94305-9010 \\ \\
-  <font size="2" color="#008888"><b>NEWS</b></font> +
-<br> +
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-  <ul> +
-   <li> <b>Videotaped recordings</b> of the workshop are available on <a href="http://videolectures.net/rraa09_seattle" target="_new"><b>Videolectures.net</b></a>.<br><br> +
-   <li> The winners of the <b>PASCAL Best Poster Presentation Award</b> have been announced! <a href="http://ai.stanford.edu/~plagem/projects/robreg/doku.php?id=competition">[read more]</a><br><br> +
-   <li> All participants are invited to the <b>Robot Learning Pub Night</b> held jointly with another great <a href="http://www-clmc.usc.edu/~jrpeters/tcrl/pmwiki.php/TC/RSS2009" target="_new"><b>RSS Workshop</b></a> on robot learning. <a href="http://ai.stanford.edu/~plagem/projects/robreg/doku.php?id=rlcn">[read more]</a> +
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-  <font size="2"> 
-  Co-located with RSS 2009 
-  <br>Robotics: Science and Systems 
-  </font> 
-  <br><br><a href="http://roboticsconference.org" target="_new"><img src="/~plagem/projects/robreg/lib/exe/fetch.php?w=&amp;h=&amp;cache=cache&amp;media=rss.jpg" border="0"></a> 
-<br><br> 
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-  Sponsored by the 
-  <br>PASCAL2 Network of Excellence 
-  <br><br><a href="http://www.pascal-network.org" target="_new"><img src="/~plagem/projects/robreg/lib/exe/fetch.php?w=&amp;h=&amp;cache=cache&amp;media=pascal.png" border="0"></a> 
-<br><br> 
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-  Videotaped recordings available on 
-  <br>Videolectures.net 
-  <br><br><a href="http://videolectures.net/rraa09_seattle" target="_new"><img src="/~plagem/projects/robreg/lib/exe/fetch.php?w=&amp;h=&amp;cache=cache&amp;media=videolectures_200.jpg" border="0"></a> 
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-==== Overview ==== 
-Function approximation from noisy data is a central task in robot learning. Relevant problems include sensor modeling, manipulation, control, and many others. A large number of function approximation methods have been proposed from statistics, machine learning, and control system theory to address robotics-related issues such as online updates, active sampling, high dimensionality, non-homogeneous noise, and missing features.+==== Contact ====
-In this workshop, we would like to develop a common understanding of the benefits and drawbacks of different function approximation approaches and to derive practical guidelines for selecting a suitable approach to a given problem. +Phone: +1 (650) 723-9558 \\ 
- +Fax: +1 (650) 725-1449 \\ 
-In addition, we would like to discuss two key points of criticism in current robot learning research. First, data-driven machine learning methods do, in fact, not necessarily outperform models designed by human experts and we would like to explore what function approximation problems in robotics really have to be learned. Second, function approximation/regression methods are typically evaluated using different metrics and data sets, making standardized comparisons challenging. \\ \\ +E-Mail: [[plagemann@stanford.edu|plagemann@stanford.edu]] \\ \\
- +
- +
-==== Organization & Contact Information ==== +
- +
-  * Christian Plagemann, Stanford University, [[plagemann@stanford.edu]] +
-  * Jo-Anne Ting, University of Edinburgh, [[jting@ed.ac.uk]] +
-  * Sethu Vijayakumar, University of Edinburgh, [[sethu.vijayakumar@ed.ac.uk]] \\ \\ +
- +
- +
-==== Co-location and Sponsorship ==== +
- +
-The workshop will be co-located with [[http://www.roboticsconference.org|2009 Robotics: Science and Systems]] in Seattle, Washington, USA and will be held at the [[http://www.washington.edu/ | University of Washington]] in the [[http://www.washington.edu/home/maps/northcentral.html?EEB | Electrical Engineering Building]]. A travel kit can be found on the RSS conference website. +
- +
-The workshop is sponsored by the [[http://www.pascal-network.org/|PASCAL2 Network of Excellence]]. As a core Pascal2 event, the workshop will be videotaped and archived.   \\ \\ +
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