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METHOD:PUBLISH
UID:63346131-3762-4361-b437-366339356432
X-WR-RELCALID:efc09d74-9c93-479e-a94f-485231ddccde
X-WR-TIMEZONE:America/Vancouver
X-WR-CALNAME:Bridging Machine Learning and Control for Safe and Intelligent
  Robot Autonomy - SiQi Zhou\, Assistant Professor\, Simon Fraser Universit
 y
BEGIN:VTIMEZONE
TZID:America/Vancouver
TZUNTIL:20271107T090000Z
BEGIN:STANDARD
TZNAME:PST
DTSTART:20251102T020000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
RDATE:20261101T020000
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TZNAME:PDT
DTSTART:20250309T020000
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
RDATE:20260308T020000
RDATE:20270314T020000
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BEGIN:VEVENT
UID:6f11460f-1a64-4d58-b962-cbe3380f7caa
DTSTAMP:20260429T112147Z
CLASS:PUBLIC
CREATED:20251124T164154Z
DESCRIPTION:Abstract: As robots become an integral part of our daily lives\
 , they must continuously learn and adapt to operate safely in unstructured
 \, human-centric environments. While established control techniques provid
 e the theoretical foundation for designing high-performance robot systems\
 , their reliance on accurate dynamics models and well-characterized enviro
 nments often leads to suboptimal performance or unsafe actions when facing
  real-world uncertainties. This challenge motivates the integration of mac
 hine learning into the traditional robot decision-making stack. In our wor
 k\, we leverage the…
DTSTART;TZID=America/Vancouver:20251201T100000
DTEND;TZID=America/Vancouver:20251201T110000
LAST-MODIFIED:20251124T170348Z
LOCATION:UBC Vancouver Campus\, ICCS X836 / Zoom
SUMMARY:Bridging Machine Learning and Control for Safe and Intelligent Robo
 t Autonomy - SiQi Zhou\, Assistant Professor\, Simon Fraser University
TRANSP:OPAQUE
URL:https://caida.ubc.ca/event/bridging-machine-learning-and-control-safe-a
 nd-intelligent-robot-autonomy-siqi-zhou-assistant
END:VEVENT
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