activity
20242026
collaborators

7 papers

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

Wiggle and Go! System Identification for Zero-Shot Dynamic Rope Manipulation

Arthur Jakobsson, Abhinav Mahajan, Karthik Pullalarevu +6

Many robotic tasks are unforgiving; a single mistake in a dynamic throw can lead to unacceptable delays or unrecoverable failure. We introduce Wiggle and Go!, a two-stage framework…

cs.RO2025

Adversarial Game-Theoretic Algorithm for Dexterous Grasp Synthesis

Yu Chen, Botao He, Yuemin Mao +7

For many complex tasks, multi-finger robot hands are poised to revolutionize how we interact with the world, but reliably grasping objects remains a significant challenge. We focus…

cs.HC2025

Visuo-Acoustic Hand Pose and Contact Estimation

Yuemin Mao, Uksang Yoo, Yunchao Yao +5

Accurately estimating hand pose and hand-object contact events is essential for robot data-collection, immersive virtual environments, and biomechanical analysis, yet remains chall…

cs.RO2025

Hearing the Slide: Acoustic-Guided Constraint Learning for Fast Non-Prehensile Transport

Yuemin Mao, Bardienus P. Duisterhof, Moonyoung Lee +1

Object transport tasks are fundamental in robotic automation, emphasizing the importance of efficient and secure methods for moving objects. Non-prehensile transport can significan…

cs.CV2024

Residual-NeRF: Learning Residual NeRFs for Transparent Object Manipulation

Bardienus P. Duisterhof, Yuemin Mao, Si Heng Teng +1

Transparent objects are ubiquitous in industry, pharmaceuticals, and households. Grasping and manipulating these objects is a significant challenge for robots. Existing methods hav…