activity
20162024
most citedCoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting

2 citations · 6 across the 13 of their papers we have counts for

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8 papers · 1 filter

cs.RO2025

Geodesic Tracing-Based Kinematic Integration of Rolling and Sliding Contact on Manifold Meshes for Dexterous In-Hand Manipulation

Sunyu Wang, Arjun S. Lakshmipathy, Jean Oh +1

Reasoning about rolling and sliding contact, or roll-slide contact for short, is critical for dexterous manipulation tasks that involve intricate geometries. But existing works on…

cs.RO2024

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…

cs.RO2024

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…

cs.RO20242 cited

CoFRIDA: Self-Supervised Fine-Tuning for Human-Robot Co-Painting

Peter Schaldenbrand, Gaurav Parmar, Jun-Yan Zhu +2

Prior robot painting and drawing work, such as FRIDA, has focused on decreasing the sim-to-real gap and expanding input modalities for users, but the interaction with these systems…

cs.RO2024

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…

cs.RO2023

Core Challenges in Embodied Vision-Language Planning

Jonathan Francis, Nariaki Kitamura, Felix Labelle +3

Recent advances in the areas of Multimodal Machine Learning and Artificial Intelligence (AI) have led to the development of challenging tasks at the intersection of Computer Vision…