Grasp Transfer For Deformable Objects

Grasp Transfer For Deformable Objects Information Guide

1. Overview to Grasp Transfer For Deformable Objects
2. Main Features
3. Recent Updates
4. Expert Insights
5. Summary

Overview to Grasp Transfer For Deformable Objects

Spotlight talk at 2nd Workshop on Representing and Manipulating This video accompanies the article: Pliska, M.; Patni, S. P.; Mares, M.; Stoudek, P.; Straka, Z.; Stepanova, K. & Hoffmann, M. (2024) ... Gerardo describes his work on the CLoPeMa FP7 European project which aimed to advance start-of-the-art in autonomous ... This paper introduces DextAIRity, an approach to manipulate The video accompanies the paper" A Novel Simulation-Based Quality Metric for Evaluating Ruoshi Wen, Kai Yuan, Qiang Wang, Shuai Heng, Zhibin Li, “Force-guided High-precision

We introduce a large-scale dataset named MultiGripperGrasp for robotic We introduce a new, general motion primitive called Iterative

Main Features

Recent Updates

Grasping Deformable Objects

DextAIRity: Deformable Manipulation Can be a Breeze

Grasping and manipulation for deformable objects, Jingyi Xu, Technical University of Munich

Learning Vision-Tactile Robotic Grasping Strategy for Deformable Objects via Transformer

A Novel Simulation-Based Quality Metric for Evaluating Grasps on 3D Deformable Objects

Force-guided Grasping Control of Fragile and Deformable Objects using sEMG-based Force Prediction

MultiGripperGrasp: A Dataset for Robotic Grasping from Parallel Jaw Grippers to Dexterous Hands

Robustly Grasping Deformable Objects with FingerVision

DeRi-IGP: Manipulating Rigid Objects Using Deformable Objects via Iterative Grasp-Pull

Expert Insights

Data is compiled from public records and verified media reports.

Last Updated: June 23, 2026

Summary

Disclaimer: Disclaimer: Details estimates are based on publicly available data, media reports, and financial analysis. Actual numbers may vary.