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The choice of a grasp plays a critical role in the success of downstream manipulation tasks.
“Articulated Hands: Force Control and Kinematic Issues”
J. Salisbury and John. Craig · 1982
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“Task-level planning of pick-and-place robot motions”
T. Lozano-Perez, J.L. Jones, E. Mazer and P.A. O’Donnell · 1989
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“Placing objects with multiple mobile robots-mutual help using intention inference”
H. Sugie, Y. Inagaki, S. Ono, H. Aisu and T. Unemi · 1995
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“Robotic grasping and contact: a review”
A. Bicchi and V. Kumar · 2000
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“Graspit! A versatile simulator for robotic grasping”
A.T. Miller and P.K. Allen · 2004
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“Upright Orientation of Man-Made Objects”
Hongbo Fu, Daniel Cohen-Or, Gideon Dror and Alla Sheffer · 2008
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“Learning 3-D object orientation from images”
Ashutosh Saxena, Justin Driemeyer and Andrew. Ng · 2009
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“Perceiving clutter and surfaces for object placement in indoor environments”
Martin. Schuster, Jason Okerman, Hai Nguyen, James. Rehg and Charles. Kemp · 2010
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“Learning to place new objects in a scene”
Yun Jiang, Marcus Lim, Changxi Zheng and Ashutosh Saxena · 2012
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“Object placement as inverse motion planning”
Anne Holladay, Jennifer Barry, Leslie Kaelbling and Tomás Lozano-Pérez · 2013
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“Grasp Quality Measures: Review and Performance”
Maximo. Roa and Raul Suarez · 2014
Cited alongside, same era.
“Supersizing self-supervision: Learning to grasp from 50K tries and 700 robot hours”
L. Pinto and A. Gupta · 2016
Cited alongside, same era.
“Structure-from-Motion Revisited”
Johannes. Schönberger and Jan-Michael Frahm · 2016
Cited alongside, same era.
“Dex-Net 2.0: Deep Learning to Plan Robust Grasps with Synthetic Point Clouds and Analytic Grasp Metrics”
Jeffrey Mahler, Jacky Liang, Sherdil Niyaz, Michael Laskey, Richard Doan, Xinyu Liu, Juan Aparicio and Ken Goldberg · 2017
Cited alongside, same era.
“Grasp Pose Detection in Point Clouds”
Andreas ten Pas, Marcus Gualtieri, Kate Saenko and Robert. Platt · 2017
Cited alongside, same era.
“Manipulation Trajectory Optimization with Online Grasp Synthesis and Selection”
Lirui Wang, Yu Xiang and Dieter Fox · 2019
“NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis”
Ben Mildenhall, Pratul. Srinivasan, Matthew Tancik, Jonathan. Barron, Ravi Ramamoorthi and Ren Ng · 2020
Later among the works it cites.
“Contact-GraspNet: Efficient 6-DoF Grasp Generation in Cluttered Scenes”
Martin Sundermeyer, Arsalan Mousavian, Rudolph Triebel and Dieter Fox · 2021
Later among the works it cites.
“pixelNeRF: Neural Radiance Fields from One or Few Images”
Alex Yu, Vickie Ye, Matthew Tancik and Angjoo Kanazawa · 2021
Later among the works it cites.
“D-NeRF: Neural Radiance Fields for Dynamic Scenes”
Albert Pumarola, Enric Corona, Gerard Pons-Moll and Francesc Moreno-Noguer · 2021
Later among the works it cites.
“Simultaneous Object Reconstruction and Grasp Prediction using a Camera-centric Object Shell Representation”
Nikhil Dafle, Sergiy Popovych, Shubham Agrawal, Daniel. Lee and Volkan Isler · 2022
Later among the works it cites.
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Cited alongside, same era.
“Grasping in the Wild: Learning 6DoF Closed-Loop Grasping from Low-Cost Demonstrations”
Shuran Song, Andy Zeng, Johnny Lee and Thomas Funkhouser · 2020
Cited alongside, same era.
“Grasping in the Wild: Learning 6DoF Closed-Loop Grasping From Low-Cost Demonstrations”
Shuran Song, Andy Zeng, Johnny Lee and Thomas. Funkhouser · 2020
Cited alongside, same era.
“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.
“Transporter Networks: Rearranging the Visual World for Robotic Manipulation”
Andy Zeng, Pete Florence, Jonathan Tompson, Stefan Welker, Jonathan Chien, Maria Attarian, Travis Armstrong, Ivan Krasin, Dan Duong, Vikas Sindhwani and Johnny Lee · 2020
Cited alongside, same era.
Thomas Müller, Alex Evans, Christoph Schied and Alexander Keller · 2022
Later among the works it cites.
“NeRF-Supervision: Learning Dense Object Descriptors from Neural Radiance Fields”
Lin Yen-Chen, Peter. Florence, Jonathan. Barron, Tsung-Yi Lin, Alberto Rodriguez and Phillip Isola · 2022
Later among the works it cites.
“ReorientBot: Learning Object Reorientation for Specific-Posed Placement”
Kentaro Wada, Stephen James and Andrew. Davison · 2022
Later among the works it cites.
“Depth-supervised NeRF: Fewer Views and Faster Training for Free”
Kangle Deng, Andrew Liu, Junyan Zhu and Deva Ramanan · 2022
Later among the works it cites.