Media Summary: Koichi Hirota, Yusuke Ujitoko, Kazuya Kiriyama, Kazuyoshi Tagawa. Presented at AsiaHaptics2014. This study investigated the ... Gerardo describes his work on the CLoPeMa FP7 European project which aimed to advance start-of-the-art in autonomous ... We demonstrate the effectiveness of DextAIRity through two challenging

Object Manipulation By Deformable Hand - Detailed Analysis & Overview

Koichi Hirota, Yusuke Ujitoko, Kazuya Kiriyama, Kazuyoshi Tagawa. Presented at AsiaHaptics2014. This study investigated the ... Gerardo describes his work on the CLoPeMa FP7 European project which aimed to advance start-of-the-art in autonomous ... We demonstrate the effectiveness of DextAIRity through two challenging Project website: Presented at Robotics: Science and Systems (RSS), 2022. ARCTIC has been accepted for CVPR2023. See our project page for more details ( Authors: Jan Matas, Stephen James and Andrew Davidson, Department of Computing, Imperial College London Contact: ...

Every day, humans deal with extremely complex materials with seamless aptitude. The complexity of some of these materials lies ... Paper title: A Lyapunov-Stable Adaptive Method to Approximate Sensorimotor Models for Sensor-Based Control. Learning to Manipulate Deformable Objects without Demonstrations Dmitry Berenson Assistant Professor Electrical Engineering & Computer Science Department, University of Michigan Friday, ... This video accompanies the research article “Planning and Control for Video accompanying the paper "Focused Adaptation of Dynamics Models for

A trailer video for IROS 2020 workshop on Managing Deformation: A Step Towards Higher Robot Autonomy To watch the full ...

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Object Manipulation by Deformable Hand
Robot Perception and Manipulation for Deformable Objects
DextAIRity: Deformable Manipulation Can be a Breeze
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation
ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation
Robot Manipulation of Deformable Objects
Deformable Objects Manipulation (video-1)
Learning to Manipulate Deformable Objects without Demonstrations
RI Seminar: Dmitry Berenson : What Matters for Deformable Object Manipulation
Robotic Planning and Control for Deformable Linear Object Manipulation (TASE 2025)
Focused Adaptation of Dynamics Models for Deformable Object Manipulation
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Object Manipulation by Deformable Hand

Object Manipulation by Deformable Hand

Koichi Hirota, Yusuke Ujitoko, Kazuya Kiriyama, Kazuyoshi Tagawa. Presented at AsiaHaptics2014. This study investigated the ...

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 ...

DextAIRity: Deformable Manipulation Can be a Breeze

DextAIRity: Deformable Manipulation Can be a Breeze

We demonstrate the effectiveness of DextAIRity through two challenging

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.

ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation

ARCTIC: A Dataset for Dexterous Bimanual Hand-Object Manipulation

ARCTIC has been accepted for CVPR2023. See our project page for more details (https://github.com/zc-alexfan/arctic).

Sponsored
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: ...

Robot Manipulation of Deformable Objects

Robot Manipulation of Deformable Objects

Every day, humans deal with extremely complex materials with seamless aptitude. The complexity of some of these materials lies ...

Deformable Objects Manipulation (video-1)

Deformable Objects Manipulation (video-1)

Paper title: A Lyapunov-Stable Adaptive Method to Approximate Sensorimotor Models for Sensor-Based Control.

Learning to Manipulate Deformable Objects without Demonstrations

Learning to Manipulate Deformable Objects without Demonstrations

Learning to Manipulate Deformable Objects without Demonstrations

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, ...

Robotic Planning and Control for Deformable Linear Object Manipulation (TASE 2025)

Robotic Planning and Control for Deformable Linear Object Manipulation (TASE 2025)

This video accompanies the research article “Planning and Control for

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

A compilation of robotics manipulation of deformable objects

A compilation of robotics manipulation of deformable objects

A trailer video for IROS 2020 workshop on Managing Deformation: A Step Towards Higher Robot Autonomy To watch the full ...