BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Africa/Nairobi BEGIN:STANDARD DTSTART:19420801T001500 TZOFFSETFROM:+0245 TZOFFSETTO:+0300 TZNAME:EAT END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20260209T154009Z UID:408E45D3-B69E-4CB3-BED5-27BFFECF1D31 DTSTART;TZID=Africa/Nairobi:20251118T190000 DTEND;TZID=Africa/Nairobi:20251213T190200 DESCRIPTION:[]\n\nThis workshop is your first step towards mastering the de sign\, building\, and programming of intelligent robotic arms\, leading up to the GRASP 2025 competition. You'll learn about 4-DOF robotic arms\, me chanical grippers\, 3D CAD design\, and control systems using Arduino Nano and Raspberry Pi. Discover how computer vision and inverse kinematics are used to achieve precise manipulation.\n\nAgenda: \n1. Apply Robotic Kinem atics\n\n-\nDevelop a mathematical model for the robotic arm's movement us ing inverse kinematics.\n\n-\nImplement and test various control schemes f or precise arm manipulation.\n\n-\nAnalyze and compare the applications of inverse and forward kinematics.\n\n2. Execute Embedded Programming\n\n-\n Establish serial communication protocols for hardware interfacing.\n\n-\nP rogram the robotic arm's functions using C++.\n\n-\nImplement precise serv o motor control for all joints.\n\n3. Develop with Computer-Aided Design ( CAD)\n\n-\nCreate initial design sketches and concepts for the robotic arm .\n\n-\nDetermine the appropriate sizing and tolerances for links and join ts.\n\n-\nProduce a complete 3D model of the robotic arm using CAD softwar e.\n\n-\nPerform simulations within the CAD environment to test for functi onality and stress.\n\n-\nApply best practices for designing components fo r manufacturability.\n\n4. Utilize 3D Printing for Prototyping\n\n-\nPrepa re and slice 3D models for printing.\n\n-\nConfigure and operate a 3D prin ter for optimal results.\n\n-\nDiagnose and troubleshoot common 3D printin g issues.\n\n5. Implement Artificial Intelligence and Computer Vision\n\n- \nDevelop Python scripts for computer vision tasks.\n\n-\nTranslate mathem atical equations for image processing into functional code.\n\n-\nInterfac e vision systems with hardware components via serial communication.\n\n-\n Utilize the OpenCV library to process and analyze image data.\n\n-\nImplem ent and fine-tune a YOLO (You Only Look Once) model for object detection.\ n\nRoom: 2nd Floor\; Dome next to Siemens Center\, Bldg: DeKUT School of E ngineering\, P.O. Box 657-10100\, NYERI-KENYA\, Nyeri\, Central\, Kenya\, 657-10100\, Virtual: https://events.vtools.ieee.org/m/503091 LOCATION:Room: 2nd Floor\; Dome next to Siemens Center\, Bldg: DeKUT School of Engineering\, P.O. Box 657-10100\, NYERI-KENYA\, Nyeri\, Central\, Ken ya\, 657-10100\, Virtual: https://events.vtools.ieee.org/m/503091 ORGANIZER:ieeerasdekut@gmail.com SEQUENCE:19 SUMMARY:GRASP 2025 - Programming Robotic Arms URL;VALUE=URI:https://events.vtools.ieee.org/m/503091 X-ALT-DESC:Description: <br /><p><img src="https://events.vtools.ieee.org/v tools_ui/media/display/b01a9eef-3615-4c05-b808-771d1d20d236" alt="" width= "479" height="599"></p>\n<p>This workshop is your first step towards maste ring the design\, building\, and programming of intelligent robotic arms\, leading up to the GRASP 2025 competition. You'll learn about 4-DOF roboti c arms\, mechanical grippers\, 3D CAD design\, and control systems using A rduino Nano and Raspberry Pi. Discover how computer vision and inverse kin ematics are used to achieve precise manipulation.</p><br /><br />Agenda: < br /><p class="ng-star-inserted"><strong class="ng-star-inserted"><span cl ass="ng-star-inserted">1. Apply Robotic Kinematics</span></strong></p>\n<u l class="ng-star-inserted">\n<li class="ng-star-inserted">\n<p class="ng-s tar-inserted"><span class="ng-star-inserted">Develop a mathematical model for the robotic arm's movement using inverse kinematics.</span></p>\n</li> \n<li class="ng-star-inserted">\n<p class="ng-star-inserted"><span class=" ng-star-inserted">Implement and test various control schemes for precise a rm manipulation.</span></p>\n</li>\n<li class="ng-star-inserted">\n<p clas s="ng-star-inserted"><span class="ng-star-inserted">Analyze and compare th e applications of inverse and forward kinematics.</span></p>\n</li>\n</ul> \n<p class="ng-star-inserted"><strong class="ng-star-inserted"><span class ="ng-star-inserted">2. Execute Embedded Programming</span></strong></p>\n< ul class="ng-star-inserted">\n<li class="ng-star-inserted">\n<p class="ng- star-inserted"><span class="ng-star-inserted">Establish serial communicati on protocols for hardware interfacing.</span></p>\n</li>\n<li class="ng-st ar-inserted">\n<p class="ng-star-inserted"><span class="ng-star-inserted"> Program the robotic arm's functions using C++.</span></p>\n</li>\n<li clas s="ng-star-inserted">\n<p class="ng-star-inserted"><span class="ng-star-in serted">Implement precise servo motor control for all joints.</span></p>\n </li>\n</ul>\n<p class="ng-star-inserted"><strong class="ng-star-inserted" ><span class="ng-star-inserted">3. Develop with Computer-Aided Design (CAD )</span></strong></p>\n<ul class="ng-star-inserted">\n<li class="ng-star-i nserted">\n<p class="ng-star-inserted"><span class="ng-star-inserted">Crea te initial design sketches and concepts for the robotic arm.</span></p>\n< /li>\n<li class="ng-star-inserted">\n<p class="ng-star-inserted"><span cla ss="ng-star-inserted">Determine the appropriate sizing and tolerances for links and joints.</span></p>\n</li>\n<li class="ng-star-inserted">\n<p cla ss="ng-star-inserted"><span class="ng-star-inserted">Produce a complete 3D model of the robotic arm using CAD software.</span></p>\n</li>\n<li class ="ng-star-inserted">\n<p class="ng-star-inserted"><span class="ng-star-ins erted">Perform simulations within the CAD environment to test for function ality and stress.</span></p>\n</li>\n<li class="ng-star-inserted">\n<p cla ss="ng-star-inserted"><span class="ng-star-inserted">Apply best practices for designing components for manufacturability.</span></p>\n</li>\n</ul>\n <p class="ng-star-inserted"><strong class="ng-star-inserted"><span class=" ng-star-inserted">4. Utilize 3D Printing for Prototyping</span></strong></ p>\n<ul class="ng-star-inserted">\n<li class="ng-star-inserted">\n<p class ="ng-star-inserted"><span class="ng-star-inserted">Prepare and slice 3D mo dels for printing.</span></p>\n</li>\n<li class="ng-star-inserted">\n<p cl ass="ng-star-inserted"><span class="ng-star-inserted">Configure and operat e a 3D printer for optimal results.</span></p>\n</li>\n<li class="ng-star- inserted">\n<p class="ng-star-inserted"><span class="ng-star-inserted">Dia gnose and troubleshoot common 3D printing issues.</span></p>\n</li>\n</ul> \n<p class="ng-star-inserted"><strong class="ng-star-inserted"><span class ="ng-star-inserted">5. Implement Artificial Intelligence and Computer Visi on</span></strong></p>\n<ul class="ng-star-inserted">\n<li class="ng-star- inserted">\n<p class="ng-star-inserted"><span class="ng-star-inserted">Dev elop Python scripts for computer vision tasks.</span></p>\n</li>\n<li clas s="ng-star-inserted">\n<p class="ng-star-inserted"><span class="ng-star-in serted">Translate mathematical equations for image processing into functio nal code.</span></p>\n</li>\n<li class="ng-star-inserted">\n<p class="ng-s tar-inserted"><span class="ng-star-inserted">Interface vision systems with hardware components via serial communication.</span></p>\n</li>\n<li clas s="ng-star-inserted">\n<p class="ng-star-inserted"><span class="ng-star-in serted">Utilize the OpenCV library to process and analyze image data.</spa n></p>\n</li>\n<li class="ng-star-inserted">\n<p class="ng-star-inserted"> <span class="ng-star-inserted">Implement and fine-tune a YOLO (You Only Lo ok Once) model for object detection.</span></p>\n</li>\n</ul> END:VEVENT END:VCALENDAR