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20182026
most citedDeep Transfer Learning of Pick Points on Fabric for Robot Bed-Making

23 citations · 101 across the 23 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.RO2024

Diffusion-Informed Probabilistic Contact Search for Multi-Finger Manipulation

Abhinav Kumar, Thomas Power, Fan Yang +4

Planning contact-rich interactions for multi-finger manipulation is challenging due to the high-dimensionality and hybrid nature of dynamics. Recent advances in data-driven methods…

cs.RO2024

ResPilot: Teleoperated Finger Gaiting via Gaussian Process Residual Learning

Patrick Naughton, Jinda Cui, Karankumar Patel +1

Dexterous robot hand teleoperation allows for long-range transfer of human manipulation expertise, and could simultaneously provide a way for humans to teach these skills to robots…

cs.RO2024

HyperTaxel: Hyper-Resolution for Taxel-Based Tactile Signals Through Contrastive Learning

Hongyu Li, Snehal Dikhale, Jinda Cui +2

To achieve dexterity comparable to that of humans, robots must intelligently process tactile sensor data. Taxel-based tactile signals often have low spatial-resolution, with non-st…

cs.RO2024

Multi-finger Manipulation via Trajectory Optimization with Differentiable Rolling and Geometric Constraints

Fan Yang, Thomas Power, Sergio Aguilera Marinovic +3

Parameterizing finger rolling and finger-object contacts in a differentiable manner is important for formulating dexterous manipulation as a trajectory optimization problem. In con…

cs.RO2024

Hierarchical Deep Learning for Intention Estimation of Teleoperation Manipulation in Assembly Tasks

Mingyu Cai, Karankumar Patel, Soshi Iba +1

In human-robot collaboration, shared control presents an opportunity to teleoperate robotic manipulation to improve the efficiency of manufacturing and assembly processes. Robots a…