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    <title>MIT TechTV - Videos tagged with lamp</title>
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      <guid>tag:techtv.mit.edu,:Array/185951060</guid>
      <title>Anticipatory Perceptual Simulation for a Robotic Teammate</title>
      <pubDate>2008-08-07 07:26:26 -0400</pubDate>
      <itunes:author>some videos to not</itunes:author>
      <itunes:summary>
&lt;p&gt;Anticipatory Perceptual Simulation is a cognitive architecture developed at the MIT Media Lab based on current neuro-psychological research in perception and memory. It is designed to allow a robotic teammate to practice a physical task with a human partner. As the practice progresses, the robot builds a model of the human's actions, and through &quot;imagining&quot; the perceptual stimuli that would arise from these actions, react faster and lead to a more efficient and fluent interaction. &lt;/p&gt;&lt;p&gt;&lt;a href=&quot;http://web.media.mit.edu/~guy/publications/HoffmanAAAI08.pdf&quot; target=&quot;_blank&quot;&gt;Read more about this research&lt;/a&gt;. &lt;/p&gt;
</itunes:summary>
      <itunes:duration>215</itunes:duration>
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      <guid>tag:techtv.mit.edu,:Array/185857060</guid>
      <title>Robotic Actor on Stage</title>
      <pubDate>2008-08-07 07:09:14 -0400</pubDate>
      <itunes:author>some videos to not</itunes:author>
      <itunes:summary>
&lt;p&gt;AUR, the robotic desk lamp, was used in a unique human-robot stage performance. This video shows clips from the play and describes the hybrid control software used to puppeteer the robot.&lt;/p&gt;&lt;p&gt;Music: &quot;The Rain Got Bounced&quot; by &lt;a href=&quot;http://www.jamendo.com/en/album/9813&quot; target=&quot;_blank&quot;&gt;TimeVibes &lt;/a&gt;&lt;/p&gt;
</itunes:summary>
      <itunes:duration>165</itunes:duration>
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      <guid>tag:techtv.mit.edu,:Array/185774440</guid>
      <title>AUR Robotic Desk Lamp - Autonomous Desktop Assistance</title>
      <pubDate>2008-08-07 06:37:00 -0400</pubDate>
      <itunes:author>some videos to not</itunes:author>
      <itunes:summary>
&lt;p&gt;This video shows AUR, a robotic desk lamp, autonomously assisting a user working in a desk environment. This is a follow-up to the previous &lt;a target=&quot;_blank&quot;&gt;concept video&lt;/a&gt; demonstrating the functional vision for AUR. The robot uses a cognitive architecture capable of anticipatory perceptual simulation, and can - with practice - predict the user's movements and commands and move in an anticipatory fashion to enhance efficiency and fluency in the interaction. &lt;a href=&quot;http://web.media.mit.edu/~guy/publications/HoffmanAAAI08.pdf&quot; target=&quot;_blank&quot;&gt;Read&lt;/a&gt; or &lt;a target=&quot;_blank&quot;&gt;watch&lt;/a&gt; more about this research. &lt;/p&gt;
</itunes:summary>
      <itunes:duration>126</itunes:duration>
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      <guid>tag:techtv.mit.edu,:Array/185741440</guid>
      <title>Robotic Desk Lamp</title>
      <pubDate>2007-05-24 11:32:30 -0400</pubDate>
      <itunes:author>some videos to not</itunes:author>
      <itunes:summary>
&lt;p&gt;This is a concept video featuring AUR, a robotic desk lamp developed at the Media Lab. In this video, the lamp tracks the human user illuminating the right area at the right time. The lamp also helps the user find things in the workspace by using a different color and a beam-narrowing iris to point out things. &lt;/p&gt;&lt;p&gt; All the functionality in this video except the &quot;seeking&quot; detection is currently implemented and working autonomously on the robot, using a motion capture system.&lt;/p&gt;&lt;p&gt;&lt;a href=&quot;http://web.media.mit.edu/~guy/aur/&quot;&gt; More information about AUR&lt;/a&gt;&lt;/p&gt;
</itunes:summary>
      <itunes:duration>88</itunes:duration>
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    <item>
      <guid>tag:techtv.mit.edu,:Array/185711520</guid>
      <title>Robotic Theater - Highlight Reel</title>
      <pubDate>2008-11-26 12:31:30 -0500</pubDate>
      <itunes:author>some videos to not</itunes:author>
      <itunes:summary>Highlight reel from a unique human-robot stage performance including two human actors and AUR, the robotic desk lamp.</itunes:summary>
      <itunes:duration>70</itunes:duration>
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