Preprint
Jun 2024
Training Fast Robot Policies with Slow Foundation Models
Visually-Grounded Reward Synthesis (VGRS), which uses slow foundation models during training to produce fast robotic control policies, is proposed and achieves success rates above 55% on challenging long-horizon tasks while deploying successfully to real robots.
Utsav Singh, Pramit Bhattacharyya, Vinay P. Namboodiri
· 3 citations