activity
20232026
most citedDeformGS: Scene Flow in Highly Deformable Scenes for Deformable Object Manipulation

7 citations · 8 across the 20 of their papers we have counts for

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Showing 2026Show all

5 papers · 1 filter

cs.RO2026

High Fidelity Capture, Reconstruction, and Transfer of Human Demonstrations for Robot-Assisted Bathing

Arjun S. Lakshmipathy, Jonathan P. King, Ethan Zuo +6

Despite the demand for robots in high-value clinical tasks like bathing, contemporary systems still lack the safety and reliability required for complex, sustained physical interac…

cs.RO2026

SemAnCorr: Semantic Anchored Correspondence for Zero-Shot Manipulation Skill Transfer

Xiaoxiang Dong, William Baron, Hongyi Chen +3

Transferring manipulation skills across object instances that share functionality but differ in geometry remains a fundamental challenge in robot learning. While recent corresponde…

cs.RO2026

VibeAct: Vibration to Actions for Contact-Rich Reactive Robot Dexterity

Yuemin Mao, Uksang Yoo, Jean Oh +2

Dexterous manipulation depends on contact events that are fast, local, and often visually occluded. Piezoelectric microphones provide compact, high-bandwidth sensing of these inter…

cs.RO2026

A-SLIP: Acoustic Sensing for Continuous In-hand Slip Estimation

Uksang Yoo, Yuemin Mao, Jean Oh +1

Reliable in-hand manipulation requires accurate real-time estimation of slip between a gripper and a grasped object. Existing tactile sensing approaches based on vision, capacitanc…

cs.RO2026

Dexterous Manipulation Policies from RGB Human Videos via 3D Hand-Object Trajectory Reconstruction

Hongyi Chen, Tony Dong, Tiancheng Wu +7

Multi-finger robotic hand manipulation and grasping are challenging due to the high-dimensional action space and the difficulty of acquiring large-scale training data. Existing app…