The Speedup Paradox: Rethinking Inference Speed-Quality Trade-off in Embodied Tasks

Yujin Wang, Junli Chen, Yixuan Li +4

Embodied foundation models have recently been widely used to improve robot generalization and task success rates. Previous works apply lossy efficient-inference techniques such as…