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VERSION:2.0
PRODID:-//RLinf//Events//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
UID:2026-11-top100-summit@rlinf
DTSTAMP:20261025T114509Z
DTSTART:20261127T063000Z
DTEND:20261127T073000Z
SUMMARY:Robots that keep learning after deployment: RLinf closes the loop f
 rom simulation to real robots to data feedback
LOCATION:The 15th TOP100 Global Software Case Study Summit · Beijing\, Chi
 na
DESCRIPTION:Zhen Guo\, Chief Researcher\, Infinigence AI\nHow RLinf connect
 s simulation\, real robots and data feedback so that robots keep improving
  after deployment.
END:VEVENT
END:VCALENDAR