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Robotic manipulation of deformable 1D objects such as ropes, cables, and hoses is challenging due to the lack of high-fidelity analytic models and large configuration spaces.
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Ken Perlin · 2002
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Paul Bao, Lei Zhang and Xiaolin Wu · 2005
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“Histograms of oriented gradients for human detection”
Navneet Dalal and Bill Triggs · 2005
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“A System for Robotic Heart Surgery that Learns to Tie Knots Using Recurrent Neural Networks”
Hermann Mayer et al · 2006
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“Knotting/Unknotting Manipulation of Deformable Linear Objects”
Hidefumi Wakamatsu, Eiji Arai and Shinichi Hirai · 2006
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“Blender Foundation”
Ton Roosendaal · 2007
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“Object recognition and full pose registration from a single image for robotic manipulation”
Alvaro Collet, Dmitry Berenson, Siddhartha. Srinivasa and Dave Ferguson · 2009
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“Cloth grasp point detection based on multiple-view geometric cues with application to robotic towel folding”
Jeremy Maitin-Shepard, Marco Cusumano-Towner, Jinna Lei and Pieter Abbeel · 2010
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“Introduction to knot theory”
R.. Crowell and R.H. Fox · 2012
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“A case study of trajectory transfer through non-rigid registration for a simplified suturing scenario”
John Schulman et al · 2013
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“Learning from Demonstrations Through the Use of Non-rigid Registration”
John Schulman, Jonathan Ho, Cameron Lee and Pieter Abbeel · 2013
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“Grasping deformable planar objects: Squeeze, stick/slip analysis, and energy-based optimalities”
Yan-Bin Jia, Feng Guo and Huan Lin · 2014
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“Realtime and Robust Hand Tracking from Depth”
Chen Qian et al · 2014
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“Siamese neural networks for one-shot image recognition”
Gregory Koch, Richard Zemel and Ruslan Salakhutdinov · 2015
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“Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics”
Jeffrey Mahler et al · 2017
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“Combining self-supervised learning and imitation for vision-based rope manipulation”
Ashvin Nair et al · 2017
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“Self-Supervised Visual Descriptor Learning for Dense Correspondence”
Tanner Schmidt, Richard. Newcombe and Dieter Fox · 2017
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“Multilateral surgical pattern cutting in 2d orthotropic gauze with deep reinforcement learning policies for tensioning”
Brijen Thananjeyan et al · 2017
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“Linear Push Policies to Increase Grasp Access for Robot Bin Picking”
Michael Danielczuk, Jeffrey Mahler, Chris Correa and Ken Goldberg · 2018
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“Picking up a soft 3D object by ”feeling” the grip”
Huan Lin, Feng Guo, Feifei Wang and Yan-Bin Jia · 2015
Cited alongside, same era.
“DynamicFusion: Reconstruction and tracking of non-rigid scenes in real-time”
Richard. Newcombe, Dieter Fox and Steven. Seitz · 2015
Cited alongside, same era.
“Interactive computational imaging for deformable object analysis”
Donald. Dansereau, Surya.. Singh and Jürgen Leitner · 2016
Cited alongside, same era.
“Online Deformable Object Tracking Based on Structure-Aware Hyper-Graph”
Dawei Du et al · 2016
Cited alongside, same era.
“Blender Tutorial - How To Model A Rope In Blender”, 2017
blended · 2017
Cited alongside, same era.
“Task-oriented grasping with semantic and geometric scene understanding”
Renaud Detry, Jeremie Papon and Larry. Matthies · 2017
Cited alongside, same era.
Peter. Florence, Lucas Manuelli and Russ Tedrake · 2018
Later among the works it cites.
“Grasp2Vec: Learning Object Representations from Self-Supervised Grasping”
Eric Jang, Coline Devin, Vincent Vanhoucke and Sergey Levine · 2018
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“Dex-Net 3.0: Computing robust vacuum suction grasp targets in point clouds using a new analytic model and deep learning”
Jeffrey Mahler et al · 2018
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“Zero-Shot Visual Imitation”
Deepak Pathak et al · 2018
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“Deep Transfer Learning of Pick Points on Fabric for Robot Bed-Making”
Daniel Seita et al · 2019
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“Learning Robotic Manipulation through Visual Planning and Acting”
Angelina Wang et al · 2019
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“Safety Augmented Value Estimation from Demonstrations (SAVED): Safe Deep Model-Based RL for Sparse Cost Robotic Tasks”
Brijen Thananjeyan et al · 2020
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“Superhuman performance of surgical tasks by robots using iterative learning from human-guided demonstrations”
Jur. van Berg et al · 2081
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