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DTSTART:20260308T030000
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DTSTART:20261101T010000
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DTSTAMP:20260530T014811Z
UID:98E2B160-B448-4D20-A1F3-DBC6AD88244F
DTSTART;TZID=America/New_York:20260806T140000
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DESCRIPTION:[]\n\nJoin the IEEE Toronto Instrumentation &amp; Measurement – R
 obotics &amp; Automation Joint Chapter for a technical talk presented by Dr. Y
 ue Hu from the University of Waterloo.\n\nThursday\, August 6\, 2026 @ 2:0
 0 – 3:00 PM (EST)\n\nAbstract:\n\nAs robots increasingly operate in huma
 n-centered environments\, teleoperation and shared-control systems must mo
 ve beyond pure motion execution toward interaction-aware and human-aware a
 utonomy.\n\nThis talk presents recent work from the Active &amp; Interactive R
 obotics Lab (AIRLab) at the University of Waterloo on robot teleoperation 
 and physical human–robot interaction (pHRI)\, with emphasis on human-cen
 tered teleoperation frameworks that integrate control\, operator intent\, 
 and user-aware adaptation to improve interaction quality and task performa
 nce in collaborative robotic systems.\n\nTopics include shared autonomy\, 
 teleoperation interfaces\, and the incorporation of human state into the c
 ontrol loop to support safer\, more intuitive\, and more effective interac
 tion.\n\nSpeaker(s): Yue Hu\, PhD.\, \n\nVirtual: https://events.vtools.ie
 ee.org/m/561326
LOCATION:Virtual: https://events.vtools.ieee.org/m/561326
ORGANIZER:s.sedghizadeh.ca@ieee.org
SEQUENCE:29
SUMMARY:Human-Aware Teleoperation and Control for Interactive Robots
URL;VALUE=URI:https://events.vtools.ieee.org/m/561326
X-ALT-DESC:Description: &lt;br /&gt;&lt;p style=&quot;text-align: center\;&quot;&gt;&amp;nbsp\;&lt;/p&gt;\n
 &lt;p&gt;&lt;img style=&quot;display: block\; margin-left: auto\; margin-right: auto\;&quot; 
 src=&quot;https://events.vtools.ieee.org/vtools_ui/media/display/85f6a12e-1723-
 41ad-b76a-f6512d28360b&quot; alt=&quot;&quot; width=&quot;786&quot; height=&quot;442&quot;&gt;&lt;/p&gt;\n&lt;p&gt;Join the&amp;
 nbsp\;&lt;strong&gt;IEEE Toronto Instrumentation &amp;amp\; Measurement &amp;ndash\; Rob
 otics &amp;amp\; Automation Joint Chapter&lt;/strong&gt;&amp;nbsp\;for a technical talk 
 presented by&amp;nbsp\;&lt;strong&gt;Dr. Yue Hu &lt;/strong&gt;from the&lt;strong&gt; University
  of Waterloo.&lt;/strong&gt;&lt;/p&gt;\n&lt;p&gt;&lt;span style=&quot;color: rgb(186\, 55\, 42)\; fo
 nt-size: 14pt\;&quot;&gt;&lt;strong&gt;Thursday\, August 6\, 2026 @ 2:00 &amp;ndash\; 3:00 P
 M (EST)&lt;/strong&gt;&lt;/span&gt;&lt;/p&gt;\n&lt;p&gt;&lt;strong&gt;Abstract&lt;/strong&gt;:&amp;nbsp\;&lt;/p&gt;\n&lt;p&gt;
 As robots increasingly operate in human-centered environments\, teleoperat
 ion and shared-control systems must move beyond pure motion execution towa
 rd interaction-aware and human-aware autonomy.&lt;/p&gt;\n&lt;p&gt;This talk presents 
 recent work from the &lt;strong&gt;Active &amp;amp\; Interactive Robotics Lab (AIRLa
 b) at the University of Waterloo&lt;/strong&gt; on r&lt;strong&gt;obot teleoperation a
 nd physical human&amp;ndash\;robot interaction (pHRI)\,&lt;/strong&gt; with emphasis
  on human-centered teleoperation frameworks that integrate control\, opera
 tor intent\, and user-aware adaptation to improve interaction quality and 
 task performance in collaborative robotic systems.&lt;/p&gt;\n&lt;p&gt;Topics include 
 &lt;strong&gt;shared autonomy\,&lt;/strong&gt; &lt;strong&gt;teleoperation interfaces&lt;/stron
 g&gt;\, and the &lt;strong&gt;incorporation of human state into the control loop&lt;/s
 trong&gt; to support safer\, more intuitive\, and more effective interaction.
 &lt;/p&gt;
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