20 citations · 24 across the 9 of their papers we have counts for
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cs.RO2024
DexiTac: Soft Dexterous Tactile Gripping
Chenghua Lu, Kailuan Tang, Max Yang +2
Grasping object,whether they are flat, round, or narrow and whether they have regular or irregular shapes,introduces difficulties in determining the ideal grasping posture, even fo…
cs.RO2024★ 1 cited
AnyRotate: Gravity-Invariant In-Hand Object Rotation with Sim-to-Real Touch
Max Yang, Chenghua Lu, Alex Church +6
Human hands are capable of in-hand manipulation in the presence of different hand motions. For a robot hand, harnessing rich tactile information to achieve this level of dexterity…
cs.CV2024★ 1 cited
Snap-it, Tap-it, Splat-it: Tactile-Informed 3D Gaussian Splatting for Reconstructing Challenging Surfaces
Mauro Comi, Alessio Tonioni, Max Yang +5
Touch and vision go hand in hand, mutually enhancing our ability to understand the world. From a research perspective, the problem of mixing touch and vision is underexplored and p…