BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//CAIL//Events//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:CAIL Events
BEGIN:VEVENT
UID:2026-02-06-lerrel-pinto@cail.columbia.edu
DTSTAMP:20260823T060839Z
DTSTART:20260206T160000Z
DTEND:20260206T170000Z
SUMMARY:ML Seminar: Lerrel Pinto - Robot Data is Not Enough Data
LOCATION:School of Social Work\, Room C03
DESCRIPTION:The past decade of robot learning has been fueled by piles of 
 human-teleoperated robot data. But this strategy is hitting a wall. Unlike
  computer vision and natural language processing\, fields supercharged by 
 mountains of passive\, internet-scale human-labeled data\, robotics faces 
 a harsher reality. Robot data is expensive. It is slow. It is narrow. And 
 most critically\, we don't even know which demonstrations or labels truly 
 matter for embodied intelligence. Chasing more of the same is a dead end.\
 n\nIn this talk\, I will argue that robot data alone will never deliver th
 e leap we need. We must demand more. Robots should learn directly from hum
 ans. They should feel the world through touch\, rather than staring at pix
 els alone. And they must go beyond purely reactive modes and instead reaso
 n\, plan\, and act with foresight. If we are serious about building intell
 igent machines\, we must move beyond the fixation on "just more data" and 
 instead embrace the hard\, messy\, human-centered problems that will defin
 e the next era of robotics.\n\nhttps://cail.columbia.edu/events/2026-02-06
 -lerrel-pinto
URL:https://cail.columbia.edu/events/2026-02-06-lerrel-pinto
END:VEVENT
END:VCALENDAR