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

Object Manipulation By Deformable Hand - Detailed Analysis & Overview

Koichi Hirota, Yusuke Ujitoko, Kazuya Kiriyama, Kazuyoshi Tagawa. Presented at AsiaHaptics2014. This study investigated the ... We demonstrate the effectiveness of DextAIRity through two challenging Gerardo describes his work on the CLoPeMa FP7 European project which aimed to advance start-of-the-art in autonomous ... Using tactile sensors on the fingertips of a robot Project website: Presented at Robotics: Science and Systems (RSS), 2022. Real-world experiments: Learning Foresightful Dense Visual Affordance for

Authors: Carolyn Matl and Ruzena Bajcsy. Paper link: Abstract: Video accompanying the paper "Focused Adaptation of Dynamics Models for We present a novel learning and control framework that combines artificial neural networks with online trajectory optimization to ... Dmitry Berenson Assistant Professor Electrical Engineering & Computer Science Department, University of Michigan Friday, ... Paper title: A Lyapunov-Stable Adaptive Method to Approximate Sensorimotor Models for Sensor-Based Control. Authors: Jan Matas, Stephen James and Andrew Davidson, Department of Computing, Imperial College London Contact: ...

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Object Manipulation by Deformable Hand
DextAIRity: Deformable Manipulation Can be a Breeze
Robot Perception and Manipulation for Deformable Objects
Robotic in-hand object-manipulation: Combining muscle-activity decoding with autonomous controller
ACID: Action-Conditional Implicit Visual Dynamics for Deformable Object Manipulation
Real-world EXPs: Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation
Deformable Elasto-Plastic Object Shaping using an Elastic Hand & Model-Based Reinforcement Learning
Focused Adaptation of Dynamics Models for Deformable Object Manipulation
Learning Object Manipulation with Dexterous Hand-Arm Systems from Human Demonstration - IROS 2020
RI Seminar: Dmitry Berenson : What Matters for Deformable Object Manipulation
Deformable Objects Manipulation Using Model Adaptation Techniques
Deformable Objects Manipulation (video-1)
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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 ...

DextAIRity: Deformable Manipulation Can be a Breeze

DextAIRity: Deformable Manipulation Can be a Breeze

We demonstrate the effectiveness of DextAIRity through two challenging

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 ...

Robotic in-hand object-manipulation: Combining muscle-activity decoding with autonomous controller

Robotic in-hand object-manipulation: Combining muscle-activity decoding with autonomous controller

Using tactile sensors on the fingertips of a robot

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.

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 experiments: Learning Foresightful Dense Visual Affordance for

Deformable Elasto-Plastic Object Shaping using an Elastic Hand & Model-Based Reinforcement Learning

Deformable Elasto-Plastic Object Shaping using an Elastic Hand & Model-Based Reinforcement Learning

Authors: Carolyn Matl and Ruzena Bajcsy. Paper link: https://arxiv.org/abs/2107.06924 Abstract:

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

Learning Object Manipulation with Dexterous Hand-Arm Systems from Human Demonstration - IROS 2020

Learning Object Manipulation with Dexterous Hand-Arm Systems from Human Demonstration - IROS 2020

We present a novel learning and control framework that combines artificial neural networks with online trajectory optimization to ...

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, ...

Deformable Objects Manipulation Using Model Adaptation Techniques

Deformable Objects Manipulation Using Model Adaptation Techniques

Title:

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.

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: ...