Grasp Transfer For Deformable Objects By Functional Map Correspondence

Spotlight talk at 2nd Workshop on Representing and Manipulating Symposium on Geometry Processing 2017 Graduate School Lecture by Maks Ovsjanikov Authors: Nicolas Donati, Abhishek Sharma, Maks Ovsjanikov Description: We present a novel learning-based approach for ... Spotlight talk at 3nd Workshop on Representing and Manipulating Project webpage: In this paper we introduce a new approach for the embedding of ... "**Learning Predictive Representations for

Authors: Marvin Eisenberger, Zorah Lähner, Daniel Cremers Description: We propose a novel 3D shape The robot realizes picking of unknown solid ICRA 2018 Spotlight Video Interactive Session Thu AM Pod E.4 Authors: Vahrenkamp, Nikolaus; Koch, Eduard; Waechter, Mirko; ...

Grasp Transfer for Deformable Objects by Functional Map Correspondence

Grasp Transfer for Deformable Objects by Functional Map Correspondence

Spotlight talk at 2nd Workshop on Representing and Manipulating

Robotic Grasping of Deformable Objects

Robotic Grasping of Deformable Objects

Handling

Shape Correspondence and Functional Maps

Shape Correspondence and Functional Maps

Symposium on Geometry Processing 2017 Graduate School Lecture by Maks Ovsjanikov...

Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence

Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence

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Tactile-based manipulation of deformable objects with dynamic center of mass

Tactile-based manipulation of deformable objects with dynamic center of mass

Tactile-based manipulation of

RMDO2023: Grasping 3D Deformable Objects via Reinforcement Learning: A Benchmark and Evaluation

RMDO2023: Grasping 3D Deformable Objects via Reinforcement Learning: A Benchmark and Evaluation

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Preserving Topology and Elasticity for Embedded Deformable Models - SIGGRAPH'09

Preserving Topology and Elasticity for Embedded Deformable Models - SIGGRAPH'09

Project webpage: http://www.cs.mcgill.ca/~cg/projects/composite/ In this paper we introduce a new approach for the...

[ISR '23] Online 3D Deformable Object Classification for Mobile Cobot Manipulation

[ISR '23] Online 3D Deformable Object Classification for Mobile Cobot Manipulation

[ISR '23] Online 3D

CoRL 2020, Spotlight Talk 126: Learning Predictive Representations for Deformable Objects Using C...

CoRL 2020, Spotlight Talk 126: Learning Predictive Representations for Deformable Objects Using C...

"**Learning Predictive Representations for

Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation

Neural Descriptor Fields: SE(3)-Equivariant Object Representations for Manipulation

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Smooth Shells: Multi-Scale Shape Registration With Functional Maps

Smooth Shells: Multi-Scale Shape Registration With Functional Maps

Authors: Marvin Eisenberger, Zorah Lähner, Daniel Cremers Description: We propose a novel 3D shape

Correspondence-Free Material Reconstruction using Sparse Surface Constraints

Correspondence-Free Material Reconstruction using Sparse Surface Constraints

Correspondence

High Precision Grasp Pose Detection for Unknown Objects

High Precision Grasp Pose Detection for Unknown Objects

The robot realizes picking of unknown solid

Planning High-Quality Grasps Using Mean Curvature Object Skeletons

Planning High-Quality Grasps Using Mean Curvature Object Skeletons

ICRA 2018 Spotlight Video Interactive Session Thu AM Pod E.4 Authors: Vahrenkamp, Nikolaus; Koch, Eduard; Waechter,...

RMDO Workshop 2022 @ICRA - Spotlight talks #2

RMDO Workshop 2022 @ICRA - Spotlight talks #2

... Rustam Stolkin, Naresh Marturi -

Introduction to Functional Maps

Introduction to Functional Maps

Introduction to

Self functional maps - as signatures for surfaces - Vision Day 2018

Self functional maps - as signatures for surfaces - Vision Day 2018

Lecture name: Self