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FTP-1 not only excels on familiar tactile sensors but also achieves unprecedented success on unseen setups, redefining the potential for cross-sensor generalization in robotic manipulation.
Simulated evaluations can mislead policy rankings, but our findings reveal how to better align simulations with real-world performance.
Ditch the multi-camera setup: PrismMirror synthesizes photorealistic frontal views of humans from a single image in real-time, outperforming prior methods in both visual quality and geometric accuracy.
Legato makes action-chunked VLA policies smoother and faster by learning a native continuation that eliminates the discontinuities introduced by chunking.