We study how vision-language models trained on Internet-scale data can b...
By transferring knowledge from large, diverse, task-agnostic datasets, m...
Large language models can encode a wealth of semantic knowledge about th...
This paper addresses two challenges facing sampling-based kinodynamic mo...
Training a deep network policy for robot manipulation is notoriously cos...
Interest in derivative-free optimization (DFO) and "evolutionary strateg...
Long-range indoor navigation requires guiding robots with noisy sensors ...
This paper focuses on the problem of learning 6-DOF grasping with a para...