19 papers
RoboSimStudio: An Interactive Toolkit for Human and Agent Rapid Real2Sim of Robot Manipulation Tasks
Kaiyuan Chen, Shuangyu Xie, Uksang Yoo +9
It has been difficult to accurately model the physics of the interaction between a robot and the objects it manipulates, including contact mechanics, coupled contact dynamics, defo…
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…
GaP: A Graph-as-Policy Multi-Agent Self-Learning Harness For Variational Automation Tasks
Kaiyuan Chen, Shuangyu Xie, Letian Fu +21
For robots to work reliably in commercial and industrial applications, recent advances in agentic coding systems have potential to combine interpretable robot programming with the…
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…
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…
Functional Force-Aware Retargeting from Virtual Human Demos to Soft Robot Policies
Uksang Yoo, Mengjia Zhu, Evan Pezent +8
We introduce SoftAct, a framework for teaching soft robot hands to perform human-like manipulation skills by explicitly reasoning about contact forces. Leveraging immersive virtual…
SOFTMAP: Sim2Real Soft Robot Forward Modeling via Topological Mesh Alignment and Physics Prior
Ziyong Ma, Uksang Yoo, Jonathan Francis +3
While soft robot manipulators offer compelling advantages over rigid counterparts, including inherent compliance, safe human-robot interaction, and the ability to conform to comple…
DYMO-Hair: Generalizable Volumetric Dynamics Modeling for Robot Hair Manipulation
Chengyang Zhao, Uksang Yoo, Arkadeep Narayan Chaudhury +4
Hair care is an essential daily activity, yet it remains inaccessible to individuals with limited mobility and challenging for autonomous robot systems due to the fine-grained phys…
PneuGelSight: Soft Robotic Vision-Based Proprioception and Tactile Sensing
Ruohan Zhang, Uksang Yoo, Yichen Li +2
Soft pneumatic robot manipulators are popular in industrial and human-interactive applications due to their compliance and flexibility. However, deploying them in real-world scenar…
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…
Modeling Personalized Difficulty of Rehabilitation Exercises Using Causal Trees
Nathaniel Dennler, Zhonghao Shi, Uksang Yoo +2
Rehabilitation robots are often used in game-like interactions for rehabilitation to increase a person's motivation to complete rehabilitation exercises. By adjusting exercise diff…
KineSoft: Learning Proprioceptive Manipulation Policies with Soft Robot Hands
Uksang Yoo, Jonathan Francis, Jean Oh +1
Underactuated soft robot hands offer inherent safety and adaptability advantages over rigid systems, but developing dexterous manipulation skills remains challenging. While imitati…
Soft and Compliant Contact-Rich Hair Manipulation and Care
Uksang Yoo, Nathaniel Dennler, Eliot Xing +4
Hair care robots can help address labor shortages in elderly care while enabling those with limited mobility to maintain their hair-related identity. We present MOE-Hair, a soft ro…
SonicBoom: Contact Localization Using Array of Microphones
Moonyoung Lee, Uksang Yoo, Jean Oh +3
In cluttered environments where visual sensors encounter heavy occlusion, such as in agricultural settings, tactile signals can provide crucial spatial information for the robot to…
Soft Robotic Dynamic In-Hand Pen Spinning
Yunchao Yao, Uksang Yoo, Jean Oh +2
Dynamic in-hand manipulation remains a challenging task for soft robotic systems that have demonstrated advantages in safe compliant interactions but struggle with high-speed dynam…
Inclusion in Assistive Haircare Robotics: Practical and Ethical Considerations in Hair Manipulation
Uksang Yoo, Nathaniel Dennler, Sarvesh Patil +2
Robot haircare systems could provide a controlled and personalized environment that is respectful of an individual's sensitivities and may offer a comfortable experience. We argue…
RoPotter: Toward Robotic Pottery and Deformable Object Manipulation with Structural Priors
Uksang Yoo, Adam Hung, Jonathan Francis +2
Humans are capable of continuously manipulating a wide variety of deformable objects into complex shapes. This is made possible by our intuitive understanding of material propertie…
POE: Acoustic Soft Robotic Proprioception for Omnidirectional End-effectors
Uksang Yoo, Ziven Lopez, Jeffrey Ichnowski +1
Soft robotic shape estimation and proprioception are challenging because of soft robot's complex deformation behaviors and infinite degrees of freedom. A soft robot's continuously…
Toward Zero-Shot Sim-to-Real Transfer Learning for Pneumatic Soft Robot 3D Proprioceptive Sensing
Uksang Yoo, Hanwen Zhao, Alvaro Altamirano +2
Pneumatic soft robots present many advantages in manipulation tasks. Notably, their inherent compliance makes them safe and reliable in unstructured and fragile environments. Howev…