Media Summary: Learning to Manipulate Deformable Objects without Demonstrations This paper introduces DextAIRity, an approach to The simulator here is used as a "black box." The method has

Learning To Manipulate Deformable Objects Without Demonstrations - Detailed Analysis & Overview

Learning to Manipulate Deformable Objects without Demonstrations This paper introduces DextAIRity, an approach to The simulator here is used as a "black box." The method has Gerardo describes his work on the CLoPeMa FP7 European project which aimed to advance start-of-the-art in autonomous ... Spotlight talk at 2nd Workshop on Representing and Tactile sensing feedback provides feasible solutions to robotic dexterous

Project website: Presented at Robotics: Science and Systems (RSS), 2022. Dmitry Berenson Assistant Professor Electrical Engineering & Computer Science Department, University of Michigan Friday, ... Authors: Jan Matas, Stephen James and Andrew Davidson, Department of Computing, Imperial College London Contact: ...

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RSS 2020, Spotlight Talk 65: Learning to Manipulate Deformable Objects without Demonstrations
Learning to Manipulate Deformable Objects without Demonstrations
DextAIRity: Deformable Manipulation Can be a Breeze
Real-world EXPs: Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation
Manipulation of Deformable Objects Without Modeling and Simulating Deformation
Manipulating Deformable Objects by Interleaving Prediction, Planning, and Control
Robot Perception and Manipulation for Deformable Objects
Learning Deformable Manipulation from Expert Demonstrations
Tactile-based Manipulation of Deformable Objects with Dynamic Center of Mass - Humanoids2016
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation
RI Seminar: Dmitry Berenson : What Matters for Deformable Object Manipulation
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
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RSS 2020, Spotlight Talk 65: Learning to Manipulate Deformable Objects without Demonstrations

RSS 2020, Spotlight Talk 65: Learning to Manipulate Deformable Objects without Demonstrations

Learning to Manipulate Deformable Objects without Demonstrations

Learning to Manipulate Deformable Objects without Demonstrations

Learning to Manipulate Deformable Objects without Demonstrations

Learning to Manipulate Deformable Objects without Demonstrations

DextAIRity: Deformable Manipulation Can be a Breeze

DextAIRity: Deformable Manipulation Can be a Breeze

This paper introduces DextAIRity, an approach to

Real-world EXPs: Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation

Real-world EXPs: Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation

Real-world

Manipulation of Deformable Objects Without Modeling and Simulating Deformation

Manipulation of Deformable Objects Without Modeling and Simulating Deformation

The simulator here is used as a "black box." The method has

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Manipulating Deformable Objects by Interleaving Prediction, Planning, and Control

Manipulating Deformable Objects by Interleaving Prediction, Planning, and Control

Video accompanying the paper "

Robot Perception and Manipulation for Deformable Objects

Robot Perception and Manipulation for Deformable Objects

Gerardo describes his work on the CLoPeMa FP7 European project which aimed to advance start-of-the-art in autonomous ...

Learning Deformable Manipulation from Expert Demonstrations

Learning Deformable Manipulation from Expert Demonstrations

Spotlight talk at 2nd Workshop on Representing and

Tactile-based Manipulation of Deformable Objects with Dynamic Center of Mass - Humanoids2016

Tactile-based Manipulation of Deformable Objects with Dynamic Center of Mass - Humanoids2016

Tactile sensing feedback provides feasible solutions to robotic dexterous

ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation

ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation

Project website: https://b0ku1.github.io/acid/ Presented at Robotics: Science and Systems (RSS), 2022.

RI Seminar: Dmitry Berenson : What Matters for Deformable Object Manipulation

RI Seminar: Dmitry Berenson : What Matters for Deformable Object Manipulation

Dmitry Berenson Assistant Professor Electrical Engineering & Computer Science Department, University of Michigan Friday, ...

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: ...

DeRi-Bot: Learning to Collaboratively Manipulate Rigid Objects via Deformable Objects

DeRi-Bot: Learning to Collaboratively Manipulate Rigid Objects via Deformable Objects

DeRi-Bot enables collaborative