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Bimanual microrobot manipulation, previously limited by coupled control challenges, becomes surprisingly effective with a hierarchical vision-language-action model.
Forget rigid-body contact and stable grasping: biological micromanipulation demands a new "micro-dexterity" framework to rethink manipulation primitives at tiny scales.
Synthesizing realistic microscopy images of microrobots, complete with depth-dependent optical effects, is now possible even with limited training data, thanks to a frequency-aware diffusion model.