Media Summary: Authors: Gautam Salhotra, I-Chun Arthur Liu, Gaurav Sukhatme Abstract: We present a novel Learning from This paper introduces DextAIRity, an approach to Farshid Alambeigi, Zerui Wang, Yun-hui Liu, Mehran Armand and Russell H. Taylor.

Deformable Manipulation From Demonstrations Dmfd - Detailed Analysis & Overview

Authors: Gautam Salhotra, I-Chun Arthur Liu, Gaurav Sukhatme Abstract: We present a novel Learning from This paper introduces DextAIRity, an approach to Farshid Alambeigi, Zerui Wang, Yun-hui Liu, Mehran Armand and Russell H. Taylor. Spotlight talk at 2nd Workshop on Representing and Project website: softmimicgen.github.io/ Large-scale robot datasets have facilitated the learning of a wide range of robot ... Authors: Jan Matas, Stephen James and Andrew Davidson, Department of Computing, Imperial College London Contact: ...

Learning Foresightful Dense Visual Affordance for Daisuke Tanaka, Solvi Arnold, Kimitoshi Yamazaki, “Disruption-Resistant Presentation video of "GenDOM: Generalizable One-shot Video accompanying the paper "Focused Adaptation of Dynamics Models for Coupled Multiple Dynamic Movement Primitives Generalization for Deformable Object Manipulation

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Deformable Manipulation from Demonstrations (DMfD)
DextAIRity: Deformable Manipulation Can be a Breeze
JHU Hamlyn 2017 Smart Autonomous Unknown Deformable Object Manipulation
Learning Deformable Manipulation from Expert Demonstrations
Deformable Objects Manipulation Using Model Adaptation Techniques
SoftMimicGen: A Data Generation System for Scalable Robot Learning in Deformable Object Manipulation
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
Deformable Objects Manipulation
Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation
Disruption-Resistant Deformable Object Manipulation
GenDOM: Generalizable One-shot Deformable Object Manipulation (ICRA2024)
Focused Adaptation of Dynamics Models for Deformable Object Manipulation
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Deformable Manipulation from Demonstrations (DMfD)

Deformable Manipulation from Demonstrations (DMfD)

Authors: Gautam Salhotra, I-Chun Arthur Liu, Gaurav Sukhatme Abstract: We present a novel Learning from

DextAIRity: Deformable Manipulation Can be a Breeze

DextAIRity: Deformable Manipulation Can be a Breeze

This paper introduces DextAIRity, an approach to

JHU Hamlyn 2017 Smart Autonomous Unknown Deformable Object Manipulation

JHU Hamlyn 2017 Smart Autonomous Unknown Deformable Object Manipulation

Farshid Alambeigi, Zerui Wang, Yun-hui Liu, Mehran Armand and Russell H. Taylor.

Learning Deformable Manipulation from Expert Demonstrations

Learning Deformable Manipulation from Expert Demonstrations

Spotlight talk at 2nd Workshop on Representing and

Deformable Objects Manipulation Using Model Adaptation Techniques

Deformable Objects Manipulation Using Model Adaptation Techniques

Title:

SoftMimicGen: A Data Generation System for Scalable Robot Learning in Deformable Object Manipulation

SoftMimicGen: A Data Generation System for Scalable Robot Learning in Deformable Object Manipulation

Project website: softmimicgen.github.io/ Large-scale robot datasets have facilitated the learning of a wide range of robot ...

Sim-to-Real Reinforcement Learning for Deformable Object Manipulation

Sim-to-Real Reinforcement Learning for Deformable Object Manipulation

Authors: Jan Matas, Stephen James and Andrew Davidson, Department of Computing, Imperial College London Contact: ...

Deformable Objects Manipulation

Deformable Objects Manipulation

Paper title: Contour Moments Based

Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation

Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation

Learning Foresightful Dense Visual Affordance for

Disruption-Resistant Deformable Object Manipulation

Disruption-Resistant Deformable Object Manipulation

Daisuke Tanaka, Solvi Arnold, Kimitoshi Yamazaki, “Disruption-Resistant

GenDOM: Generalizable One-shot Deformable Object Manipulation (ICRA2024)

GenDOM: Generalizable One-shot Deformable Object Manipulation (ICRA2024)

Presentation video of "GenDOM: Generalizable One-shot

Focused Adaptation of Dynamics Models for Deformable Object Manipulation

Focused Adaptation of Dynamics Models for Deformable Object Manipulation

Video accompanying the paper "Focused Adaptation of Dynamics Models for

Coupled Multiple Dynamic Movement Primitives Generalization for Deformable Object Manipulation

Coupled Multiple Dynamic Movement Primitives Generalization for Deformable Object Manipulation

Coupled Multiple Dynamic Movement Primitives Generalization for Deformable Object Manipulation