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PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
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TZID:Africa/Casablanca
BEGIN:DAYLIGHT
DTSTART:20250406T030000
TZOFFSETFROM:+0000
TZOFFSETTO:+0100
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DTSTART:20260215T020000
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DTSTAMP:20251003T221221Z
UID:92CB3E17-8458-4FAC-96A0-0172363C561A
DTSTART;TZID=Africa/Casablanca:20250925T133000
DTEND;TZID=Africa/Casablanca:20250930T163000
DESCRIPTION:The IAS x RAS Bootcamp is a hands-on training program dedicated
  to building a line-following robot\, designed as an introduction to real-
 world applications of robotics in industry. It&#39;s a two days event (wendnes
 day 24th and Tuesday 30th of Oktober). Participants explore the fundamenta
 ls of electronics\, programming\, and mechanics through the creation of a 
 robot capable of following a predefined path using sensors. This education
 al experience provides a concrete illustration of the use of line-followin
 g robots in major industries\, where they are employed for the automated t
 ransport of goods and materials in production lines and warehouses\, there
 by optimizing logistics\, reducing human errors\, and improving productivi
 ty.\n\n[]\n\ntunis\, Ariana\, Tunisia
LOCATION:tunis\, Ariana\, Tunisia
ORGANIZER:nour.masmoudi@ieee.org
SEQUENCE:5
SUMMARY:Bootcamp: Robotics in Industry
URL;VALUE=URI:https://events.vtools.ieee.org/m/503904
X-ALT-DESC:Description: &lt;br /&gt;&lt;p&gt;The IAS x RAS Bootcamp is a hands-on train
 ing program dedicated to building a line-following robot\, designed as an 
 introduction to real-world applications of robotics in industry. It&#39;s a tw
 o days event (wendnesday 24th and Tuesday 30th of Oktober). Participants e
 xplore the fundamentals of electronics\, programming\, and mechanics throu
 gh the creation of a robot capable of following a predefined path using se
 nsors. This educational experience provides a concrete illustration of the
  use of line-following robots in major industries\, where they are employe
 d for the automated transport of goods and materials in production lines a
 nd warehouses\, thereby optimizing logistics\, reducing human errors\, and
  improving productivity.&lt;/p&gt;\n&lt;p&gt;&lt;img src=&quot;https://events.vtools.ieee.org/
 vtools_ui/media/display/255b9f2b-64c0-48e7-a99f-d4af8769be15&quot; alt=&quot;&quot; width
 =&quot;835&quot; height=&quot;626&quot;&gt;&lt;/p&gt;
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