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We would like robots to achieve purposeful manipulation by placing any instance from a category of objects into a desired set of goal states.
A volumetric method for building complex models from range images
Brian Curless and Marc Levoy · 1996
Earlier work this paper cites.
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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Point set registration: Coherent point drift
Andriy Myronenko and Xubo Song · 2010
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Gravity-based robotic cloth folding
Jur Van Den Berg, Stephen Miller, Ken Goldberg, and Pieter Abbeel · 2010
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Parametrized shape models for clothing
Stephen Miller, Mario Fritz, Trevor Darrell, and Pieter Abbeel · 2011
Earlier work this paper cites.
A geometric approach to robotic laundry folding
Stephen Miller, Jur Van Den Berg, Mario Fritz, Trevor Darrell, Ken Goldberg, and Pieter Abbeel · 2012
Earlier work this paper cites.
Toward lifelong object segmentation from change detection in dense rgb-d maps
Ross Finman, Thomas Whelan, Michael Kaess, and John J Leonard · 2013
Earlier work this paper cites.
Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Beyond pascal: A benchmark for 3d object detection in the wild
Yu Xiang, Roozbeh Mottaghi, and Silvio Savarese · 2014
Earlier work this paper cites.
Director: A robotics interface and visualization framework, 2015
Pat Marion · 2015
Earlier work this paper cites.
High precision grasp pose detection in dense clutter
Marcus Gualtieri, Andreas Ten Pas, Kate Saenko, and Robert Platt · 2016
Earlier work this paper cites.
Dex-net 1.0: A cloud-based network of 3d objects for robust grasp planning using a multi-armed bandit model with correlated rewards
Jeffrey Mahler, Florian T Pokorny, Brian Hou, Melrose Roderick, Michael Laskey, Mathieu Aubry, Kai Kohlhoff, Torsten Kröger, James Kuffner, and Ken Goldberg · 2016
Cited alongside, same era.
Drake: A planning, control, and analysis toolbox for nonlinear dynamical systems, 2016
Russ Tedrake and the Drake Development Team · 2016
Cited alongside, same era.
Mask r-cnn
Kaiming He, Georgia Gkioxari, Piotr Dollár, and Ross Girshick · 2017
Cited alongside, same era.
Self-supervised visual descriptor learning for dense correspondence
Tanner Schmidt, Richard Newcombe, and Dieter Fox · 2017
Cited alongside, same era.
Multi-view self-supervised deep learning for 6d pose estimation in the amazon picking challenge
Andy Zeng, Kuan-Ting Yu, Shuran Song, Daniel Suo, Ed Walker, Alberto Rodriguez, and Jianxiong Xiao · 2017
Cited alongside, same era.
Transferring grasping skills to novel instances by latent space non-rigid registration
Diego Rodriguez, Corbin Cogswell, Seongyong Koo, and Sven Behnke · 2018
Later among the works it cites.
Category-level 6d object pose recovery in depth images
Caner Sahin and Tae-Kyun Kim · 2018
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Fast object learning and dual-arm coordination for cluttered stowing, picking, and packing
Max Schwarz, Christian Lenz, Germán Martín García, Seongyong Koo, Arul Selvam Periyasamy, Michael Schreiber, and Sven Behnke · 2018
Later among the works it cites.
Robot bed-making: Deep transfer learning using depth sensing of deformable fabric
Daniel Seita, Nawid Jamali, Michael Laskey, Ron Berenstein, Ajay Kumar Tanwani, Prakash Baskaran, Soshi Iba, John Canny, and Ken Goldberg · 2018
Later among the works it cites.
Integral human pose regression
Xiao Sun, Bin Xiao, Fangyin Wei, Shuang Liang, and Yichen Wei · 2018
Later among the works it cites.
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Marcin Andrychowicz, Bowen Baker, Maciek Chociej, Rafal Jozefowicz, Bob McGrew, Jakub Pachocki, Arthur Petron, Matthias Plappert, Glenn Powell, Alex Ray, et al · 2018
Cited alongside, same era.
Dense object nets: Learning dense visual object descriptors by and for robotic manipulation
Peter R Florence, Lucas Manuelli, and Russ Tedrake · 2018
Cited alongside, same era.
Pick and place without geometric object models
Marcus Gualtieri, Andreas ten Pas, and Robert Platt · 2018
Cited alongside, same era.
Label fusion: A pipeline for generating ground truth labels for real rgbd data of cluttered scenes
P. Marion, P. R. Florence, L. Manuelli, and R. Tedrake · 2018
Cited alongside, same era.
maskrcnn-benchmark: Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch
Francisco Massa and Ross Girshick · 2018
Cited alongside, same era.
Scalable deep reinforcement learning for vision-based robotic manipulation
Dmitry Kalashnikov, Alex Irpan, Peter Pastor, Julian Ibarz, Alexander Herzog, Eric Jang, Deirdre Quillen, Ethan Holly, Mrinal Kalakrishnan, Vincent Vanhoucke, and Sergey Levine
Cited in the paper.
Deep object pose estimation for semantic robotic grasping of household objects
Jonathan Tremblay, Thang To, Balakumar Sundaralingam, Yu Xiang, Dieter Fox, and Stan Birchfield · 2018
Later among the works it cites.
Robotic pick-and-place of novel objects in clutter with multi-affordance grasping and cross-domain image matching
Andy Zeng, Shuran Song, Kuan-Ting Yu, Elliott Donlon, Francois R Hogan, Maria Bauza, Daolin Ma, Orion Taylor, Melody Liu, Eudald Romo, et al · 2018
Later among the works it cites.
Filterreg: Robust and efficient probabilistic point-set registration using gaussian filter and twist parameterization
Wei Gao and Russ Tedrake · 2019
Closest in time.
Learning ambidextrous robot grasping policies
Jeffrey Mahler, Matthew Matl, Vishal Satish, Michael Danielczuk, Bill DeRose, Stephen McKinley, and Ken Goldberg · 2019
Closest in time.
Normalized object coordinate space for category-level 6d object pose and size estimation
He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song, and Leonidas J Guibas · 2019
Closest in time.