BEGIN:VCALENDAR
VERSION:2.0
PRODID:IEEE vTools.Events//EN
CALSCALE:GREGORIAN
BEGIN:VTIMEZONE
TZID:US/Central
BEGIN:DAYLIGHT
DTSTART:20220313T030000
TZOFFSETFROM:-0600
TZOFFSETTO:-0500
RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3
TZNAME:CDT
END:DAYLIGHT
BEGIN:STANDARD
DTSTART:20221106T010000
TZOFFSETFROM:-0500
TZOFFSETTO:-0600
RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11
TZNAME:CST
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTAMP:20220618T230045Z
UID:CDD1916A-2652-4F01-A460-FFFF9FB90364
DTSTART;TZID=US/Central:20220617T080000
DTEND;TZID=US/Central:20220617T090000
DESCRIPTION:Mobile robots are nowadays having an undisputed pervasiveness i
 n modern society. Autonomous driving cars as well as applications of servi
 ce robots (e.g. cleaning robots\, companion robots\, intelligent healthcar
 e solutions\, tour-guided systems) are becoming more and more popular and 
 a general acceptance is now developing around such systems in modern socie
 ties. Nonetheless\, one of the major problems in building such application
 s relies on the capability of autonomous systems to understand their surro
 undings and then plan proper counteractions. Besides learning-based tools\
 , the classical concepts of metrology\, such as standard uncertainty\, acc
 uracy\, and precision\, are still unavoidable for a clear and effective un
 derstanding of modern mobile robot applications. In this talk\, some funda
 mental measurement concepts will be revised in this domain. In particular\
 , we will cover the main concepts of the statistical approach to measureme
 nts that will then be applied to the positioning\, localization\, and cont
 rol of mobile robots.\n\nCo-sponsored by: IMEKO\, Technical Committee on R
 obotic Measurement\, TC17\n\nSpeaker(s): Daniele\, \n\nHouston\, Texas\, U
 nited States\, Virtual: https://events.vtools.ieee.org/m/313112
LOCATION:Houston\, Texas\, United States\, Virtual: https://events.vtools.i
 eee.org/m/313112
ORGANIZER:ztaqvi@gmail.com
SEQUENCE:1
SUMMARY:WEBINAR: "Mobile Robots - Estimation problems"
URL;VALUE=URI:https://events.vtools.ieee.org/m/313112
X-ALT-DESC:Description: <br /><p>Mobile robots are nowadays having an undis
 puted pervasiveness in modern society. Autonomous driving cars as well as 
 applications of service robots (e.g. cleaning robots\, companion robots\, 
 intelligent healthcare solutions\, tour-guided systems) are becoming more 
 and more popular and a general acceptance is now developing around such sy
 stems in modern societies. Nonetheless\, one of the major problems in buil
 ding such applications relies on the capability of autonomous systems to u
 nderstand their surroundings and then plan proper counteractions. Besides 
 learning-based tools\, the classical concepts of metrology\, such as stand
 ard uncertainty\, accuracy\, and precision\, are still unavoidable for a c
 lear and effective understanding of modern mobile robot applications. In t
 his talk\, some fundamental measurement concepts will be revised in this d
 omain. In particular\, we will cover the main concepts of the statistical 
 approach to measurements that will then be applied to the positioning\, lo
 calization\, and control of mobile robots.</p>
END:VEVENT
END:VCALENDAR