Search papers, labs, and topics across Lattice.
Affiliation:
7
0
5
These results support R4Tun as a controlled, label-free, cross-LLM adaptation mechanism in the tested SAM4Tun--Seg2Tunnel setting, demonstrating consistent accuracy gains and position R4Tun as a mechanism contribution rather than a deployable final-inspection system, in which each bounded parameter change is auditable via logged rationales.
Achieving state-of-the-art robust estimation efficiency, DiffSAC slashes hypothesis evaluations from over 10,000 to just dozens.
Bending-aware constraints in BendTwin lead to superior mechanical stability and fidelity in reconstructing deformable objects from video, outperforming traditional models.
Unlock generalist robots by learning manipulation skills directly from the abundance of human activity videos, bypassing the robot data bottleneck.
Robots can now build and understand 3D scene graphs on the fly, thanks to a new system that incrementally maps semantics with Gaussian confidence.
Robots can now use real-time environmental sounds to guide manipulation tasks, thanks to a new framework that overcomes the "Blind Execution Interval" of traditional vision-language-action models.
