PyTorch implementation of the descriptor DEAL presented at NeurIPS 2021 "Extracting Deformation-Aware Local Features by Learning to Deform".
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Updated
Jan 12, 2022 - Jupyter Notebook
PyTorch implementation of the descriptor DEAL presented at NeurIPS 2021 "Extracting Deformation-Aware Local Features by Learning to Deform".
[RA-L 2023, ICRA 2024, ICRA RMDO 2024] This repository contains the code used in our paper, "TrackDLO: Tracking Deformable Linear Objects Under Occlusion with Motion Coherence." This algorithm is useful for tracking the motion of DLOs, including wire and rope, under several categories of occlusion without physics simulation.
Learning Deformable Object Manipulation from Expert Demonstrations (RA-L, IROS 2022)
A collection of RL gymnasium environments for learning to grasp 3D deformable objects.
Github repository of a Visio-tactile Implicit Representations of Deformable Objects (ICRA 2022)
Follow up work of TrackDLO
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