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A robot operating in a household environment will see a wide range of unique and unfamiliar objects.
“Random Sample Consensus: A Paradigm for Model Fitting with Applications to Image Analysis and Automated Cartography”
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P.J. Besl and Neil. McKay · 1992
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“Automatic grasp planning using shape primitives”
Andrew Miller, Steffen Knoop, Henrik Christensen and Peter Allen · 2003
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“Real-time tracking and pose estimation for industrial objects using geometric features”
Youngrock Yoon, Guilherme DeSouza and Avinash Kak · 2003
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“Probabilistic approach for object bin picking approximated by cylinders”
Kensuke Harada et al · 2013
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“Single image 3D object detection and pose estimation for grasping”
Menglong Zhu et al · 2014
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“Shapenet: An information-rich 3d model repository”
Angel Chang et al · 2015
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“Pybullet, a python module for physics simulation for games, robotics and machine learning”
Erwin Coumans and Yunfei Bai · 2016
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“Learning from Demonstrations Through the Use of Non-rigid Registration”
John Schulman, Jonathan Ho, Cameron Lee and Pieter Abbeel · 2016
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Kaiming He, Georgia Gkioxari, Piotr Doll“’ar and Ross. Girshick · 2017
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“Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation”
Peter Florence, Lucas Manuelli and Russ Tedrake · 2018
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“kPAM-SC: Generalizable Manipulation Planning using KeyPoint Affordance and Shape Completion”
Wei Gao and Russ Tedrake · 2019
Cited alongside, same era.
“kpam: Keypoint affordances for category-level robotic manipulation”
Lucas Manuelli, Wei Gao, Peter Florence and Russ Tedrake · 2019
Cited alongside, same era.
“Occupancy Networks: Learning 3D Reconstruction in Function Space”
Lars Mescheder et al · 2019
Cited alongside, same era.
“DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation”
Jeong Park et al · 2019
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“Dex-NeRF: Using a Neural Radiance field to Grasp Transparent Objects”
Jeffrey Ichnowski*, Yahav Avigal*, Justin Kerr and Ken Goldberg · 2020
Cited alongside, same era.
“Shape-Based Transfer of Generic Skills”
Skye Thompson, Leslie Kaelbling and Tomas Lozano-Perez · 2021
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“iNeRF: Inverting Neural Radiance Fields for Pose Estimation”
Lin Yen-Chen et al · 2021
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“Vision-only robot navigation in a neural radiance world”
Michal Adamkiewicz et al · 2022
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“Robust Change Detection Based on Neural Descriptor Fields”
Jiahui Fu et al · 2022
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“LENS: Localization enhanced by NeRF synthesis”
Arthur Moreau et al · 2022
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“iSDF: Real-Time Neural Signed Distance Fields for Robot Perception”
Joseph Ortiz et al · 2022
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“Convolutional occupancy networks”
Songyou Peng et al · 2020
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“Learning Rope Manipulation Policies Using Dense Object Descriptors Trained on Synthetic Depth Data”
Priya Sundaresan et al · 2020
Cited alongside, same era.
“kPAM 2.0: Feedback Control for Category-Level Robotic Manipulation”
Wei Gao and Russ Tedrake · 2021
Cited alongside, same era.
“Synergies between affordance and geometry: 6-dof grasp detection via implicit representations”
Zhenyu Jiang et al · 2021
Cited alongside, same era.
“Neural Descriptor Fields: SE (3)-Equivariant Object Representations for Manipulation”
Anthony Simeonov et al · 2021
Cited alongside, same era.
“iMAP: Implicit Mapping and Positioning in Real-Time”
Edgar Sucar, Shikun Liu, Joseph Ortiz and Andrew Davison · 2021
Cited alongside, same era.
Hyunwoo Ryu, Jeong-Hoon Lee, Hong-in Lee and Jongeun Choi · 2022
Later among the works it cites.
“SE(3)-Equivariant Relational Rearrangement with Neural Descriptor Fields”
Anthony Simeonov et al · 2022
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“NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields”
Lin Yen-Chen et al · 2022
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“Nice-slam: Neural implicit scalable encoding for slam”
Zihan Zhu et al · 2022
Later among the works it cites.