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Robotics · ROBOTICSYunzhu Li: World Models Must Be Controllable to Train and Evaluate Robots | CoRL 2026
At the "Do Robots Need World Models?" workshop at CoRL 2026 on November 12, Columbia University's Yunzhu Li argued that world models must be highly controllable to serve as scalable data sources for robot training and policy evaluation.
Robotics · RESEARCHDo Robots Need World Models? Live Vote Reverses After Finn and Max Li Debate at CoRL 2026
At noon on November 12, 2026, the 'Do Robots Need World Models?' workshop at the Conference on Robot Learning (CoRL) concluded its final debate session in the Brazos room of the JW Marriott in Austin.
Robotics · RESEARCHChelsea Finn: End-to-End Policies Can Handle Long-Horizon Tasks Without Explicit World Models
At the CoRL 2026 workshop 'Do Robots Need World Models?' in Austin on November 12, Chelsea Finn presented research showing that end-to-end policies equipped with implicit supervision, multi-scale memory, and detailed multimodal prompting can manage long-horizon tasks without building explicit world models.
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