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      <title>RobotN6 by </title>
      <link>https://padlet.com/jbasco60/18namn08161v</link>
      <description>JuanJoseBasualdoCorodba</description>
      <language>en-us</language>
      <pubDate>2018-05-22 19:17:59 UTC</pubDate>
      <lastBuildDate>2018-05-23 18:50:55 UTC</lastBuildDate>
      <webMaster>hello@padlet.com</webMaster>
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         <url></url>
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      <item>
         <title>RobotN6</title>
         <author>jbasco60</author>
         <link>https://padlet.com/jbasco60/18namn08161v/wish/262823912</link>
         <description><![CDATA[<div>El robot N6 es un robot creado por robot group para el rendimiento escolar de los chicos en la secundaria para la materia tecnologia este robot esta diseñado con dos motores (motor0 y motor1) y tres tipos de sensores<br>(Sensor infrarrojo; sensor LDR y sensor a control remoto)y </div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 19:23:32 UTC</pubDate>
         <guid>https://padlet.com/jbasco60/18namn08161v/wish/262823912</guid>
      </item>
      <item>
         <title>Motores</title>
         <author>jbasco60</author>
         <link>https://padlet.com/jbasco60/18namn08161v/wish/262831802</link>
         <description><![CDATA[<div>Como dice el nombre le permiten al robot ejecutar varios tipos de movimientos como girar en circulos, ir hacia adelante , frenar, ir en reversa, etc<br>Pero para que este robot funcione se debe aplicar la velocidad a la que deven ir los dos motores para ejecutar los movimientos como por ejemplo:<br>Estos para ir hacia adelante<br>M0:50<br>M1:50<br>Estos para ir hacia ataras<br>M0:-50<br>M1:-50<br>Este para girar en circulos<br>M0:50<br>M1:25<br>etc<br>pero tembien necesitan que les coloques un cronometro el cual marcara el tiempo que quieres que avancen<br><br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-22 19:55:22 UTC</pubDate>
         <guid>https://padlet.com/jbasco60/18namn08161v/wish/262831802</guid>
      </item>
      <item>
         <title>Sensores</title>
         <author>jbasco60</author>
         <link>https://padlet.com/jbasco60/18namn08161v/wish/263130245</link>
         <description><![CDATA[<div>Los sensores son los ojos del robot los cuales le permiten poder detectar a una determinada distancia.<br>Hay tres tipos de sensores que se utilizan con este robot n6 que son: <br> 1 Sensor de ultrasonido <br> 2 Sensores LDR <br> 1 Sensor de control remoto <br><br></div>]]></description>
         <enclosure url="" />
         <pubDate>2018-05-23 18:19:41 UTC</pubDate>
         <guid>https://padlet.com/jbasco60/18namn08161v/wish/263130245</guid>
      </item>
      <item>
         <title></title>
         <author>jbasco60</author>
         <link>https://padlet.com/jbasco60/18namn08161v/wish/263138302</link>
         <description><![CDATA[￼]]></description>
         <enclosure url="" />
         <pubDate>2018-05-23 18:43:05 UTC</pubDate>
         <guid>https://padlet.com/jbasco60/18namn08161v/wish/263138302</guid>
      </item>
      <item>
         <title></title>
         <author>jbasco60</author>
         <link>https://padlet.com/jbasco60/18namn08161v/wish/263138330</link>
         <description><![CDATA[￼]]></description>
         <enclosure url="" />
         <pubDate>2018-05-23 18:43:10 UTC</pubDate>
         <guid>https://padlet.com/jbasco60/18namn08161v/wish/263138330</guid>
      </item>
      <item>
         <title></title>
         <author>jbasco60</author>
         <link>https://padlet.com/jbasco60/18namn08161v/wish/263139670</link>
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wqEjTWeg1b5b/ACqqxw+KdfdYqPmPWDTjb5lv5ezZiyeEkbeHQfAVyvhiGGi7juOSpPho0GPjWw2fs9yL1plIkONJHz01/kdD1rUzynTNxl7dF/in2g27RXKqnUzr56+ET8TNSfkrhxxWLUx3QZ9ApGUfOP4TUPu4pGdnVFQudFXYA6xH0q6fY/w5Usm60Anxj3QND6e8f1VLdkn0m3MHEBg8HcuLoQuS3++2i/Lf4Gq44DhgXRXHdUG7c/dQZiPOTkT9VPntGx4u3rGHUyqDtmjYlhCf/GfhcpusDJh2b8V5sg/5doy5+L6foo0wN0uzO27Ek+pM1wYbA4PCvcus2R3VmXM+hYNmcAN1IPTwp14ZhhddbRYqGkFhEgBSSRPXSo7h+XrPbYmxdPbJh7wKM0rqURnG5gTodayJNhWkAjYwfgaeOFL97bj86/8AUKjf2jOGFr7u0N2P5GtkrkO2kpr5GphylhJvWx0QT8FED6xVE9ArIUsUUBS0lFAtFJRQLSUtFA3cc4naw1lrl66tobKz6jOQcojrttXmXjPHHxV5sRfYLdeAdAqnKAAco02Aq2vbpxdreHTDrcthbxAuLqbwghkcflSVIJI1mPGqNd2AnKGUDx73nRGrimLI7pVc35l0Oo8Nx8658BhGvILayWa4FQae8wAGvQV08r8JGMxlrDs3Zq5OZlElUVSzQOphSB51OuZ8JgcGuEuYNcgS+pusczXCAVJLHfQBtABudKKduV/Zf2Vu/bxlxbiX0QRbzApcViQwZhuOhjXMwIg6s+G5as8HxYv38SLhQF7Fm2jhrh1VS5PdVQd9Tt8Db1i+rqCjAggEQehEg/Wonzvy2L+EMZ7l+0rdk/4zmIkGB3tI8+7NBVOK5tvdqzXBAP5BGWfeid5nffWtHO7Z71vEprbvWrToY07iLbdfVXQgjzFcd/AXLaul0EQAYbcHrv8ACrE5B4NbxPDRaxVolM7shMqwmO+jdJ+RimWWpykht5O4i2KN+21wQ9lrhC6FWtFSD8pHy8KbMRbUuxgQFcSdZLIVA+Ek/CnTjduzwsXsPgUK3bqAXMReYMwtMZKIoUAAxqT4fKKWG3PaMwO8kRpVxv2mUtacbcVLb2yurxlPgVcE/ME0cr4J71y4LWFOIy28xRYzhQVBZV3YyRtrrW69aR2AYSCD1jUxBmrD5E5RsjsMXYvXEfIQwIDK0g/iWCvTx2oqFLhlYlA7IetjEAsB5ZdHQ+YEeZpm4pw17BDANbDHQq2e2fRxr8CJq/uO8HzpmvWUxKqCWJHaMAB0tkF2MflBNVxjOVbd+21zheJzL+Kyz57Z2gBtSnpcj1FFRHl7gNy/fQGCrMJdWWAJ7zbzI10jeKvPi3K6Lhs1oZTbCllzBFNtGDXBmynKcgYA1TXKPFzw7F/egBc2W4rrJQ9HA8vEHUfCrr9oPFOzwa21Iz4mF0MjJALkHqvur6PURXHG8bib5uX7CffYi6qqNDkBMKBOmndX4CurDcUY2/vyFWwOylgF1QlXJ1IktuepJo4PxW2gvX07yYNJB3D327llB494k+q028Dwb3UV8Q+YSSEzFgWzSWuH8bBumw8KKe+DcWQqcQ4a3bUORm0LAEQQPFtYHWuXA4cpaN2+zLma5fvrqS2dG7h6kAEafsiu7F31toXYSFEwBJPhA8ZI+dbMPhWZ892O6XCAbBGCjUdTof4qDXhmW/cOHW4iMgKpbPu5SFNt2Hllbu+dWV7OuH3ksG5iNbjsQrbFranutA0EmTA6RTLyxytbvXExFy2AtssZGhuuY1bxAAAqxloFooooCiiigKKKKAoNFITQUl7eM32mxpZA7MwQfvmGbUMN8g/DpuzVT2KUD8LKxP6Trr5Vfntx4MXs2sWq2/ujluEqxuZWPc7y6BQS0yOu9UVjkgRLAToGEg+Ybw8qqHH2dNl4nho37/zNq4P61KPaTjHuYdc6qWV174UBiCp0JG/jUQ5FuRxPCH/1VX+Ix/WprzlaP2Vj4Mh+hH9ainrlzjuBxGEsreUkobVpiywUussKQ24Bg94dKfW4JireuCxrZelvEjt7foHP3g/iNMHD0wb8Lwq41zbtultS4BAldgzgdwHUSY33qa8Dwti1hwuEKm0Mxt5XNxRJJgNJ0k7T1oOTiSr2IfFWlYgKXVV7UK2kxIkgHrE1jxK7kQw4RvwzGpGuUA76A6eFY4Tj4+wfbbyk5Fc3BbAkm27I2UE/skxNNo5k4djUgXVDDvIt4G2wcCVjNAJ9Cas1vlL1wh3MvBcTjGLnsy0KoySvutIOViRMHxqN2+Ssa9zsRaYAnMzOMqAR+eIOvQTVjYLDM2ISHKhZLLGjgrEHwgwfhUnftRdRBbm0VJZ82qsNhl6gidfSt+TGY5ajOF9sdqTxHJuIXFCyASx76gEe7mEsSNI1AnTpV08t8GFiwtpmkwJjSPT/AFreHtdsLRMXShYAjUoGAaG6wSJHmK77eHAbMJ2g+B/71htusqVAGYkiO8Yk+ZgATVW848Baxdu4nD/4e7bDXMyCEupBYyuzdRMb71Z+R84IYZIgrHXoQaaudn/wGJkAxZuxIBglDqJ2NQUfzMj4iymJL52J0kBTlPQeImTBmB8Z0cR43iLlq3avuzdnbCW5A7qD8IPWYEnU6DyrG9eItqM3eywpOyjrp400XcWWOsnw6Qf76URuwznKRMAxIBIzRMSNjHn41Y3LKRh7fpPzYmq3w2NKkl7K3AY94EHTwI2qWcH5iwx7pu3MNAACspu2566GWH8QoJccMvai6ZJC5B4AFpOniSB8hTrw+wbrqi7sfp1NcPAcHdxKFrVyxdgwMjZWYACTlaepjfoamXD8EthCqMDcYd+4NR+6vkPrRTtYxAy9lbgrb7pI8QBp9R86kGGbur6D+VVXzBzzbwj9lZt9q2pcyQimSCCyg97TaPDWu7hHtYwzQL1m5b81IuL/AEb6UFmTS1HuHc5YC/At4m3P5XPZt8nin5HBEggg7Eag/GgyopJooFopJooMqQ0tIaDTfthlKsAVYEEHYgiCKp3nf2WKA93BXco627jHbwVzM+jCfOrkcUycbwjXEKjWg8u8HsPZ4hhu0BUrfsz8Li9asLncEWLyddx6hqfeIciq7i5kKsrBh3oEqQRI9RWzm3hxOGvsHiVZijQ2sycrdKBi5L5obD8LDXsKxt2hlDZlK3QXcHSO6RBBB8vGp3yyMG1t7mBCBLjd7s9FLAanLsGg66CdKivswt2sRgWsuAwS46spmO8cw+jVNuGcJsYbMLFtbYcgkKIEgQNPSgasVy+V4ffwlo5i4vlZ01uu7x8C0fCqBbhV+wSl63cttJ0IIJ7v4SdG+B6V6Uw94DOi3RccFiFLDMPBTHQHSY2pi5j5gwtvsrOMCBrqybdxc4UbHM0QBOk9aor3G8XvNhLOMw9w27ixnIAIkd24CrAgiZMHyrq4L7VsSqBsVhO0tyR2luUOniDKn6CpliOTsLcstbsg2VcnMEjKDse6ZA26RUcw/s+u4YubTC6pEBRoR+bQnr/rWvLnvVnbPjx1uX/iVcr85YPHtFhmF1VzFLiw4WQCQRII22Nd3GeX1xBzC7ds3Iyi5ZbKwEzHmP8AU1X3s74OLHEWLW2tMVcBGBUREkidxttMR6VLrmJccat2wzZGwrllk5SVcEHLtI8fM1iXbVYrgOMYf/KxVjGLPu4hDauR4C4mhPrTZzHzFffC4izi8Bew7tauAOCLtkkKdO0Ud2RtPpUu49isVaQPhLCXyCc6Nc7NisfhY6T61CObualGGvYTEFheuW1yEJCMWAZlkEwRr8qoh/C8EOwF4lMpfs9TDF8uY6EREefjp1rXiuGWif8ALE/siD9N6eeWOMWfs9lb9pb0Xj3CgOiW+zQiQdR3TprsdBUyt4DhrMrjtsM4IbvqTb0I/NP86Ij/AAb2bOMl1riht8hWQPAZgd/ga7MbyEXOV7CNmMZlIGp6nY1OMGmIgtbu4fELvpNt4+orm5i4+mGVlZgLoSXynMbYI2Eaz4mKBu4HwjD8PtthcP3rjT2t3c6n/LU9AJ/s1FOOc/Ot58NglVigIe4x2fbKgHQHcnz08evjHFBawrtZabzwtvXZrminX1n4VWa4Sylwoys+TTOBKkx3iOp1mNNoorruW2LM9xO85LOytBLEyxO3WTSXLg2LDT84JHzMT/vXRaZYORiZ0hi0A+h2rFluAbKwH6TH1B+lEbcHaJOug8jKka9Dsdqub2S4tjh7toklbbgrOwDgyoPqJj9rzqDcl8sW71lncsgcxaiAc5Ekx1A/1qX+yO2RbxDMsHOqkzpKhpEeU7+YoLGDVmDWgGswaitk0VhNFBvpDRSGgxNabgrca13BQNt+0DUZ5i4GbyMoO6kCehI0NS27brluYeqKu9mnC8VhBibV5Ftu7q1rO0q0CG1XaREdd9NKmdviVzvLcstbYKSNQyMQJ0YfyIBrsxvCc4gkR4RvTPjcFfQEI5A2g94R5HcVBT/FcPfZjdZmzliZEyJPQjUVKuG4DDYzBWL3E7lw3FuXLIYsc1wZiy22ME7ddD50+3cGQpARWY7CQJPkTTBj7i2EPasoUMZziO9OoAG5pQ/f+Z8N2htXGa2bbhlIJjYQDGsEEggiINNfDebsQ/ETYNoC2XKBgIKgLIct+KTHlB084Bjka9ihfQdxmBAzjNkUKDPj8PGKsDhlm7bdc6DKQCGBkzOx8RFXLHWud7WaWCMWmdUIOZlLDumI0kZtgddt6wbhVpr64mD2iIyAzplaJBHwFQHl/nu68hkDBNCW7rdY1GnQ1J+XONYbGXme1nW7bTKykkKyFtCBs0Eb7jN+1q5l1eKjv4tiMZbcNh7Nu9ajvqXKXQZ1Kk91hHTTbeoZzdxuxdweItNYu2b0K2S9biYuopKOJU6eBmD61NuOYvE2lD4ewt4Cc6l8jAdCsiD6fWoJztzNbfDX8HduKcSptaKjKrDNbclZLRpOhPSgrt7bWMP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" 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         <enclosure url="" />
         <pubDate>2018-05-23 18:47:24 UTC</pubDate>
         <guid>https://padlet.com/jbasco60/18namn08161v/wish/263139670</guid>
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