BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Kolkata BEGIN:STANDARD DTSTART:19451014T230000 TZOFFSETFROM:+0630 TZOFFSETTO:+0530 TZNAME:IST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20251021T152206Z UID:739F7A70-AC4F-4F59-9F8B-FDD0114A09CB DTSTART;TZID=Asia/Kolkata:20251009T100000 DTEND;TZID=Asia/Kolkata:20251010T160000 DESCRIPTION:Date: 9th & 10th October 2025\nTime: 10:00 AM – 4:00 PM\nVenu e: Government College of Engineering\, Kannur\n--------------------------- ------------------------------------\n\nIntroduction\n\nAs part of the IEE E Day 2025 celebrations\, IEEE SIGHT AG GCEK organized its flagship hands- on learning program\, LearnLab 3.0\, on the 9th and 10th of October 2025. With the theme “Learn by Doing. Grow by Experiencing\,” this edition f ocused on Robotics and IoT workshops\, offering students an immersive and interactive learning experience.\n\nThe program aimed to provide beginners with a strong foundation in two of the most rapidly evolving technology d omains — Robotics and the Internet of Things (IoT). Around 30 students p articipated enthusiastically\, guided by a team of 10 dedicated IEEE mento rs\, making the event a dynamic blend of teamwork\, innovation\, and techn ical growth.\n------------------------------------------------------------ ---\n\nHighlights\n\nThe sessions were carefully designed to maintain a ba lance between theory and practice.\n\n-\nThe IoT workshop introduced parti cipants to the fundamentals of connected systems and embedded hardware.\n\ n-\nThe Robotics workshop encouraged students to explore mechanical design and control systems.\n\nEach session emphasized hands-on implementation\, enabling participants to learn through experimentation\, testing\, and tr oubleshooting — turning theoretical knowledge into practical expertise.\ n---------------------------------------------------------------\n\nWorksh op Flow\n\nIoT Workshop\n\nThe IoT track began with an introduction to the concept and significance of the Internet of Things in modern technology. Through guided exercises\, participants:\n\n-\nLearned the basics of IoT c omponents\, sensors\, and connectivity principles.\n\n-\nProgrammed their first LED blinking circuit using a microcontroller.\n\n-\nControlled an LE D bulb using a relay module.\n\n-\nMeasured environmental data such as tem perature and humidity using a DHT11 sensor.\n\nRobotics Workshop\n\nThe Ro botics sessions introduced participants to the fundamentals of robotics\, motor drivers\, and sensor-based control. Students progressively developed and tested three practical robot models:\n\n-\nA Line Follower Robot\, de signed to trace predefined paths.\n\n-\nA Web-Controlled Robot\, demonstra ting remote operation through wireless control.\n\n-\nAn Obstacle-Avoidanc e Robot\, capable of detecting and navigating around obstacles autonomousl y.\n\n---------------------------------------------------------------\n\nO utcomes\n\nLearnLab 3.0\, held as part of IEEE Day 2025\, left participant s with:\n\n-\nPractical knowledge in IoT and Robotics through real-world a pplications.\n\n-\nHands-on experience with microcontrollers\, sensors\, r elays\, and motor drivers.\n\n-\nImproved teamwork\, logical reasoning\, a nd problem-solving skills.\n\n-\nConfidence to design and develop embedded systems and robotic prototypes independently.\n\n-\nInspiration to pursue further innovation in smart technologies and automation.\n\n------------- --------------------------------------------------\n\nImpressions\n\nThe w orkshop received an overwhelmingly positive response from participants. Ma ny appreciated the beginner-friendly approach and the step-by-step guidanc e provided by IEEE mentors. The combination of structured learning and han ds-on experimentation made the sessions highly engaging and impactful.\n\n For several participants\, this marked their first real exposure to practi cal projects\, and the joy of seeing their robots move or sensors respond brought immense excitement.\nLearnLab 3.0 once again reaffirmed its place as the flagship initiative of IEEE SIGHT AG GCEK\, and its inclusion in IE EE Day 2025 celebrations made the experience even more memorable — symbo lizing collaboration\, creativity\, and the true spirit of IEEE.\n\nKannur \, Kerala\, India LOCATION:Kannur\, Kerala\, India ORGANIZER:abhayagovind4@gmail.com SEQUENCE:36 SUMMARY:LearnLab 3.0: Robotics & IoT Workshops URL;VALUE=URI:https://events.vtools.ieee.org/m/509041 X-ALT-DESC:Description: <br /><p><strong>Date:</strong> 9th &amp\; 10th Oct ober 2025<br><strong>Time:</strong> 10:00 AM &ndash\; 4:00 PM<br><strong>V enue:</strong> Government College of Engineering\, Kannur</p>\n<hr>\n<h2>< strong>Introduction</strong></h2>\n<p><img src="https://events.vtools.ieee .org/vtools_ui/media/display/8ae8323d-2fc0-4345-86e8-30c0df21a166" width=" 189" height="267"></p>\n<p>As part of the IEEE Day 2025 celebrations\, IEE E SIGHT AG GCEK organized its flagship hands-on learning program\, <strong >LearnLab 3.0</strong>\, on the <strong>9th and 10th of October 2025</stro ng>. With the theme <em>&ldquo\;Learn by Doing. Grow by Experiencing\,&rdq uo\;</em> this edition focused on <strong>Robotics and IoT workshops</stro ng>\, offering students an immersive and interactive learning experience.< /p>\n<p>The program aimed to provide beginners with a strong foundation in two of the most rapidly evolving technology domains &mdash\; Robotics and the Internet of Things (IoT). Around <strong>30 students</strong> partici pated enthusiastically\, guided by a team of <strong>10 dedicated IEEE men tors</strong>\, making the event a dynamic blend of teamwork\, innovation\ , and technical growth.</p>\n<hr>\n<h2><strong>Highlights</strong></h2>\n< p>The sessions were carefully designed to maintain a balance between theor y and practice.</p>\n<ul>\n<li>\n<p>The <strong>IoT workshop</strong> intr oduced participants to the fundamentals of connected systems and embedded hardware.</p>\n</li>\n<li>\n<p>The <strong>Robotics workshop</strong> enco uraged students to explore mechanical design and control systems.</p>\n</l i>\n</ul>\n<p>Each session emphasized hands-on implementation\, enabling p articipants to learn through experimentation\, testing\, and troubleshooti ng &mdash\; turning theoretical knowledge into practical expertise.</p>\n< hr>\n<h2><strong>Workshop Flow</strong></h2>\n<h3><strong>IoT Workshop</st rong></h3>\n<p>The IoT track began with an introduction to the concept and significance of the Internet of Things in modern technology. Through guid ed exercises\, participants:</p>\n<ul>\n<li>\n<p>Learned the basics of IoT components\, sensors\, and connectivity principles.</p>\n</li>\n<li>\n<p> Programmed their first <strong>LED blinking</strong> circuit using a micro controller.</p>\n</li>\n<li>\n<p>Controlled an <strong>LED bulb using a re lay module</strong>.</p>\n</li>\n<li>\n<p>Measured environmental data such as <strong>temperature and humidity using a DHT11 sensor</strong>.</p>\n< /li>\n</ul>\n<h3><strong>Robotics Workshop</strong></h3>\n<p>The Robotics sessions introduced participants to the fundamentals of robotics\, motor d rivers\, and sensor-based control. Students progressively developed and te sted three practical robot models:</p>\n<ul>\n<li>\n<p>A <strong>Line Foll ower Robot</strong>\, designed to trace predefined paths.</p>\n</li>\n<li> \n<p>A <strong>Web-Controlled Robot</strong>\, demonstrating remote operat ion through wireless control.</p>\n</li>\n<li>\n<p>An <strong>Obstacle-Avo idance Robot</strong>\, capable of detecting and navigating around obstacl es autonomously.</p>\n</li>\n</ul>\n<hr>\n<h2><strong>Outcomes</strong></h 2>\n<p>LearnLab 3.0\, held as part of IEEE Day 2025\, left participants wi th:</p>\n<ul>\n<li>\n<p><strong>Practical knowledge</strong> in IoT and Ro botics through real-world applications.</p>\n</li>\n<li>\n<p><strong>Hands -on experience</strong> with microcontrollers\, sensors\, relays\, and mot or drivers.</p>\n</li>\n<li>\n<p><strong>Improved teamwork\, logical reaso ning\, and problem-solving skills.</strong></p>\n</li>\n<li>\n<p><strong>C onfidence</strong> to design and develop embedded systems and robotic prot otypes independently.</p>\n</li>\n<li>\n<p><strong>Inspiration</strong> to pursue further innovation in smart technologies and automation.</p>\n</li >\n</ul>\n<p><img src="https://events.vtools.ieee.org/vtools_ui/media/disp lay/6ce7f2f0-8ed5-4544-a2d4-04443ddcd3eb" width="213" height="303"></p>\n< hr>\n<h2><strong>Impressions</strong></h2>\n<p>The workshop received an ov erwhelmingly positive response from participants. Many appreciated the beg inner-friendly approach and the step-by-step guidance provided by IEEE men tors. The combination of structured learning and hands-on experimentation made the sessions highly engaging and impactful.</p>\n<p>For several parti cipants\, this marked their <strong>first real exposure to practical proje cts</strong>\, and the joy of seeing their robots move or sensors respond brought immense excitement.<br>LearnLab 3.0 once again reaffirmed its plac e as the <strong>flagship initiative of IEEE SIGHT AG GCEK</strong>\, and its inclusion in <strong>IEEE Day 2025 celebrations</strong> made the expe rience even more memorable &mdash\; symbolizing collaboration\, creativity \, and the true spirit of IEEE.</p>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR