CVPR2023

Affordances from Human Videos as a Versatile Representation for Robotics

Shikhar Bahl, Russell Mendonca, Lili Chen, Unnat Jain, Deepak Pathak

摘要

Figure 1 . We leverage human videos to learn visual affordances that can be deployed on multiple real robot, in the wild, spanning several tasks and learning paradigms. Videos available at https://robo-affordances.github.io/ .