Search papers, labs, and topics across Lattice.
Georgia Institute of Technology
4
0
6
Robots can now achieve over double the success rate in using novel tools by leveraging keypoint trajectory reasoning for functional generalization.
Causal Spectral Policy achieves superior performance in precision-sensitive tasks by effectively separating motion intent from execution details, revealing a new paradigm in hierarchical policy learning.
Robots often ignore your commands mid-task, but ReSteer offers a way to fix this by pinpointing and patching the "blind spots" in their training data.
Achieve minute-level navigable video world models by combining the strengths of explicit 3D patch memory with implicit generative modeling.
