7 citations · 8 across the 20 of their papers we have counts for
23 papers
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…
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…
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…
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…
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…
ORB: Operating Room Bot, Automating Operating Room Logistics through Mobile Manipulation
Jinkai Qiu, Yungjun Kim, Gaurav Sethia +4
Efficiently delivering items to an ongoing surgery in a hospital operating room can be a matter of life or death. In modern hospital settings, delivery robots have successfully tra…
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…
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…
RaySt3R: Predicting Novel Depth Maps for Zero-Shot Object Completion
Bardienus P. Duisterhof, Jan Oberst, Bowen Wen +3
3D shape completion has broad applications in robotics, digital twin reconstruction, and extended reality (XR). Although recent advances in 3D object and scene completion have achi…
Web2Grasp: Learning Functional Grasps from Web Images of Hand-Object Interactions
Hongyi Chen, Yunchao Yao, Yufei Ye +8
Functional grasping is essential for enabling dexterous multi-finger robot hands to manipulate objects effectively. Prior work largely focuses on power grasps, which only involve h…
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…
Cloth-Splatting: 3D Cloth State Estimation from RGB Supervision
Alberta Longhini, Marcel Büsching, Bardienus P. Duisterhof +4
We introduce Cloth-Splatting, a method for estimating 3D states of cloth from RGB images through a prediction-update framework. Cloth-Splatting leverages an action-conditioned dyna…
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…
Automating Robot Failure Recovery Using Vision-Language Models With Optimized Prompts
Hongyi Chen, Yunchao Yao, Ruixuan Liu +2
Current robot autonomy struggles to operate beyond the assumed Operational Design Domain (ODD), the specific set of conditions and environments in which the system is designed to f…
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…
KOROL: Learning Visualizable Object Feature with Koopman Operator Rollout for Manipulation
Hongyi Chen, Abulikemu Abuduweili, Aviral Agrawal +4
Learning dexterous manipulation skills presents significant challenges due to complex nonlinear dynamics that underlie the interactions between objects and multi-fingered hands. Ko…
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…
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…
DeformGS: Scene Flow in Highly Deformable Scenes for Deformable Object Manipulation
Bardienus P. Duisterhof, Zhao Mandi, Yunchao Yao +8
Teaching robots to fold, drape, or reposition deformable objects such as cloth will unlock a variety of automation applications. While remarkable progress has been made for rigid o…