BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Indian/Mahe BEGIN:DAYLIGHT DTSTART:20380119T071407 TZOFFSETFROM:+0400 TZOFFSETTO:+0400 RRULE:FREQ=YEARLY;BYDAY=3TU;BYMONTH=1 TZNAME:+04 END:DAYLIGHT BEGIN:STANDARD DTSTART:19200101T001848 TZOFFSETFROM:+0341 TZOFFSETTO:+0400 RRULE:FREQ=YEARLY;BYDAY=1TH;BYMONTH=1 TZNAME:+04 END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20211026T175533Z UID:FD5A6A09-EB57-4DD7-9DE3-419BB7489847 DTSTART;TZID=Indian/Mahe:20210830T180000 DTEND;TZID=Indian/Mahe:20210830T203000 DESCRIPTION:This session was the second day of Robotricks phase 2 and was r egarding ‘Estimator Design’. This webinar series was organized by the IEEE Robotics and Automation Society\, the student chapter of University o f Peradeniya on the 30th of August 2021 from 6.00 p.m. onwards via zoom pl atform. The webinar was conducted by a proud graduate from the Faculty of Engineering\, University of Peradeniya and a PhD holder from University of Technology in Sydney\, who has also practised and gained good knowledge i n various fields such as robotics\, control systems\, computer vision and artificial intelligence and PLC programming.\n\nThe webinar was opened for all the undergraduates interested in Robotics and who plan to succeed in the Robotics Industry in the future.\n\nAt the commencement of the event\, an introduction of the keynote speaker\, Dr. Maleen Jayasuriya\, was deli vered. Afterwards\, Dr. Jayasuriya started the session from scratch by int roducing the simplest of theories. Firstly\, probability theory was explai ned at a more fundamental level and then gradually built the session for m ore advanced topics. As the session went along few highlighted areas were covered\, and those are as follows.\n\n- Probabilistic robotics\n- Kalman filter\n- Kalman filter algorithm\n- Observation Model\n- Extended Kalman Filter (EKF)\n\nFurthermore\, the Update Step and the Production Step\, th e basic steps in following the Kalman Theory\, were explained thoroughly. Towards the end of the session\, an example containing 1D dynamics was dem onstrated. The session was exciting as the speaker encouraged the audience to answer his questions and raise their questions while explaining.\n\nAt the end of the main session of the guest speaker\, the participants were able to lighten their minds from the Q/A session\, where they were able to get answers to a lot of questions and clarified their doughts regarding h ow to carry out an Estimator Design.\n\nFinally\, to remark the end of the first webinar of the webinar series\, the Vote of Thanks was delivered by Mr. Udula Ranasinghe\, the secretary of IEEE Robotics and Automation Soci ety.\n\nSpeaker(s): Dr. Maleen Jayasuriya\, \n\nAgenda: \n6:00 pm - Welcom e Address and introduction about the speakers\n\n6:10 pm - Explanation abo ut the Probabilistic Robotics\n\n6:30 pm - Explanation of what Kalman Filt er is and its algorithm\n\n7:45 pm - Showed an example of how to use the K alman Filter for estimator design\n\n7:50 pm - Explained a bit about EKF\n \n7:00 pm - Q & A Session\n\n8:15 pm - Vote of Thanks by Mr. Udula Ranasin ghe\, the secretary of IEEE Robotics and Automation Society.\n\n8:20 pm - End of the Session\n\nVirtual: https://events.vtools.ieee.org/m/287326 LOCATION:Virtual: https://events.vtools.ieee.org/m/287326 ORGANIZER:ieeeraspera@gmail.com SEQUENCE:1 SUMMARY:Robotricks 21/22 - Phase 2 - Webinar 2-Estimator Design URL;VALUE=URI:https://events.vtools.ieee.org/m/287326 X-ALT-DESC:Description: <br /><p><span style="font-weight: 400\;">This sess ion was the second day of Robotricks phase 2 and was regarding &lsquo\;Est imator Design&rsquo\;. This webinar series was organized by the IEEE Robot ics and Automation Society\, the student chapter of University of Peradeni ya on the 30</span><span style="font-weight: 400\;">th</span><span style=" font-weight: 400\;"> of August 2021 from 6.00 p.m. onwards via zoom platfo rm. The webinar was conducted by a proud graduate from the Faculty of Engi neering\, University of Peradeniya and a PhD holder from University of Tec hnology in Sydney\, who has also practised and gained good knowledge in va rious fields such as robotics\, control systems\, computer vision and arti ficial intelligence and PLC programming.</span></p>\n<p><span style="font- weight: 400\;">The webinar was opened for all the undergraduates intereste d in Robotics and who plan to succeed in the Robotics Industry in the futu re.</span></p>\n<p><span style="font-weight: 400\;">At the commencement of the event\, an introduction of the keynote speaker\, Dr. Maleen Jayasuriy a\, was delivered. Afterwards\, </span><span style="font-weight: 400\;">Dr . Jayasuriya started the session from scratch by introducing the simplest of theories. Firstly\, probability theory was explained at a more fundamen tal level and then gradually built the session for more advanced topics. A s the session went along few highlighted areas were covered\, and those ar e as follows.</span></p>\n<ul>\n<li style="font-weight: 400\;" aria-level= "1"><span style="font-weight: 400\;">Probabilistic robotics</span></li>\n< li style="font-weight: 400\;" aria-level="1"><span style="font-weight: 400 \;">Kalman filter</span></li>\n<li style="font-weight: 400\;" aria-level=" 1"><span style="font-weight: 400\;">Kalman filter algorithm</span></li>\n< li style="font-weight: 400\;" aria-level="1"><span style="font-weight: 400 \;">Observation Model&nbsp\;</span></li>\n<li style="font-weight: 400\;" a ria-level="1"><span style="font-weight: 400\;">Extended Kalman Filter (EKF )</span></li>\n</ul>\n<p><span style="font-weight: 400\;">Furthermore\, th e Update Step and the Production Step\, the basic steps in following the K alman Theory\, were explained thoroughly. Towards the end of the session\, an example containing 1D dynamics was demonstrated. The session was excit ing as the speaker encouraged the audience to answer his questions and rai se their questions while explaining.</span></p>\n<p><span style="font-weig ht: 400\;">At the end of the main session of the guest speaker\, the parti cipants were able to lighten their minds from the Q/A session\, where they were able to get answers to a lot of questions and clarified their dought s regarding how to carry out an Estimator Design.</span></p>\n<p><span sty le="font-weight: 400\;">Finally\, to remark the end of the first webinar o f the webinar series</span><span style="font-weight: 400\;">\, the Vote of Thanks was delivered by Mr. Udula Ranasinghe\, the secretary of</span><sp an style="font-weight: 400\;"> </span><span style="font-weight: 400\;">IEE E Robotics and Automation Society.</span></p><br /><br />Agenda: <br /><p> <span style="font-weight: 400\;">6:00 pm - Welcome Address and introductio n about the speakers&nbsp\;</span></p>\n<p><span style="font-weight: 400\; ">6:10 pm - Explanation about the Probabilistic Robotics</span></p>\n<p><s pan style="font-weight: 400\;">6:30 pm - Explanation of what Kalman Filter is and its algorithm</span></p>\n<p><span style="font-weight: 400\;">7:45 pm - Showed an example of how to use the Kalman Filter for estimator desi gn</span></p>\n<p><span style="font-weight: 400\;">7:50 pm - Explained a b it about EKF</span></p>\n<p><span style="font-weight: 400\;">7:00 pm - Q & amp\; A Session&nbsp\;</span></p>\n<p><span style="font-weight: 400\;">8:1 5 pm - Vote of Thanks by Mr. Udula Ranasinghe\, </span><span style="font-w eight: 400\;">the secretary of</span><span style="font-weight: 400\;"> </s pan><span style="font-weight: 400\;">IEEE Robotics and Automation Society. </span></p>\n<p><span style="font-weight: 400\;">8:20 pm - End of the Sess ion&nbsp\;</span></p>\n<p>&nbsp\;</p> END:VEVENT END:VCALENDAR