Ilija Radosavovic1, Tete Xiao1, Bike Zhang1

  • 1University of California, Berkeley CA, USA.

Science robotics
|April 17, 2024
PubMed
概括

本研究介绍了一种基于学习的控制器,用于人形机器人,使其能够在各种环境中自主移动. 基于变压器的模型适应上下文,在没有再培训的情况下实现强大的现实世界性能.

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