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X-WR-RELCALID:efc09d74-9c93-479e-a94f-485231ddccde
X-WR-TIMEZONE:America/Vancouver
X-WR-CALNAME:Building Safe Embodied AI Systems - Qi Zhu\, Professor\, North
 western University
BEGIN:VTIMEZONE
TZID:America/Vancouver
TZUNTIL:20270314T100000Z
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TZNAME:PST
DTSTART:20241103T020000
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
RDATE:20251102T020000
RDATE:20261101T020000
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DTSTART:20250309T020000
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RDATE:20260308T020000
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DTSTAMP:20260416T181941Z
CLASS:PUBLIC
CREATED:20250709T161250Z
DESCRIPTION:Abstract: Embodied AI systems are cyber-physical systems that e
 mploy advanced machine learning techniques to perceive\, analyze\, and int
 eract with their environment. As these systems become more prevalent in fi
 elds such as self-driving cars and robotics\, ensuring their safety has be
 come a critical but challenging requirement. In this talk\, I will discuss
  key challenges in building safe embodied AI systems\, particularly those 
 arising from uncertainties in system inputs\, model inaccuracies\, and the
  lack of analyzability in neural network-based components. I will present 
 our work on tackling these…
DTSTART;TZID=America/Vancouver:20250715T093000
DTEND;TZID=America/Vancouver:20250715T103000
LAST-MODIFIED:20250709T162333Z
LOCATION:UBC Vancouver Campus\, Fried Kaiser (KAIS) building\, Room 2020/20
 30\, 2332 Main Mall
SUMMARY:Building Safe Embodied AI Systems - Qi Zhu\, Professor\, Northweste
 rn University
TRANSP:OPAQUE
URL:https://caida.ubc.ca/event/building-safe-embodied-ai-systems-qi-zhu-pro
 fessor-northwestern-university
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