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This paper introduces DextAIRity, an approach to manipulate deformable objects using active airflow.
Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al · 1912
Earlier work this paper cites.
Dynamic manipulation
Matthew T Mason and Kevin M Lynch · 1943
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Aerodynamic levitation of laser-heated solids in gas jets
Paul C Nordine and Robert M Atkins · 1982
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A planar air levitated electrostatic actuator system
Kristopher SJ Pister, Ronald S Fearing, and Roger T Howe · 1990
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A conveyance system using air flow based on the concept of distributed micro motion systems
Satoshi Konishi and Hiroyuki Fujita · 1994
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Prototype system for automated sorting and removal of bags of hazardous waste
Ayanna M Howard and George A Bekey · 1996
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Two-dimensional conveyance system using cooperative motions of many microactuators
Satoshi Konishi and Hiroyuki Fujita · 1996
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Design and operational considerations of a non-contact robotic handling system for non-rigid materials
F Erzincanli, JM Sharp, and S Erhal · 1998
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Development of a non-contact conveyance system composed of distributed nozzle units
Satoshi Konishi, Yasushi Mizuguchi, and Kazuyuki Ohno · 1999
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Airjet paper mover: An example of mesoscale mems
David K Biegelsen, Andrew A Berlin, Patrick Cheung, Markus PJ Fromherz, David Goldberg, Warren B Jackson, Bryan Preas, James Reich, and Lars E Swartz · 2000
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Intelligent learning for deformable object manipulation
Ayanna M Howard and George A Bekey · 2000
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A non-contact end-effector for the handling of garments
Babur Ozcelik and Fehmi Erzincanli · 2002
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Spatial action maps for mobile manipulation
Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Johnny Lee, Szymon Rusinkiewicz, and Thomas Funkhouser · 2004
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Position control of a pneumatic levitation system
Juan M Escano, Manuel G Ortega, and Francisco R Rubio · 2005
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An end effector based on the bernoulli principle for handling sliced fruit and vegetables
S Davis, JO Gray, and Darwin G Caldwell · 2008
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Robots with inflatable links
Siddharth Sanan, Justin B Moidel, and Christopher G Atkeson · 2009
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Learning arbitrary-goal fabric folding with one hour of real robot experience
Robert Lee, Daniel Ward, Akansel Cosgun, Vibhavari Dasagi, Peter Corke, and Jurgen Leitner · 2010
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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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Robotic unfolding of hemmed fabric using pinching slip motion
Mizuho Shibata, Tsuyoshi Ohta, and Shinichi Hirai · 2010
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Combining imitation and reinforcement learning to fold deformable planar objects
Benjamin Balaguer and Stefano Carpin · 2011
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Dynamic manipulation of a cloth by high-speed robot system using high-speed visual feedback
Yuji Yamakawa, Akio Namiki, and Masatoshi Ishikawa · 2011
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Development of robot hand with suction mechanism for robust and dexterous grasping
Kengo Yamaguchi, Yasuhisa Hirata, and Kazuhiro Kosuge · 2013
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Design, fabrication and control of soft robots
Cloth3d: Clothed 3d humans
Hugo Bertiche, Meysam Madadi, and Sergio Escalera · 2020
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Learning a decentralized multi-arm motion planner
Huy Ha, Jingxi Xu, and Shuran Song · 2020
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Softgym: Benchmarking deep reinforcement learning for deformable object manipulation
Xingyu Lin, Yufei Wang, Jake Olkin, and David Held · 2020
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Deep imitation learning of sequential fabric smoothing from an algorithmic supervisor
Daniel Seita, Aditya Ganapathi, Ryan Hoque, Minho Hwang, Edward Cen, Ajay Kumar Tanwani, Ashwin Balakrishna, Brijen Thananjeyan, Jeffrey Ichnowski, Nawid Jamali, et al · 2020
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Learning rope manipulation policies using dense object descriptors trained on synthetic depth data
Priya Sundaresan, Jennifer Grannen, Brijen Thananjeyan, Ashwin Balakrishna, Michael Laskey, Kevin Stone, Joseph E Gonzalez, and Ken Goldberg · 2020
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Daniela Rus and Michael T Tolley · 2015
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Rethinking atrous convolution for semantic image segmentation
Liang-Chieh Chen, George Papandreou, Florian Schroff, and Hartwig Adam · 2017
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A review of compressed-air hybrid technology in vehicle system
Faizil Wasbari, RA Bakar, Leong Ming Gan, MM Tahir, and Ahmad Anas Yusof · 2017
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Fabrication and characterization of novel soft compliant robotic end-effectors with negative pressure and mechanical advantages
Abhishek Bamotra, Pushpinder Walia, Avataram Venkatavaradan Prituja, and Hongliang Ren · 2018
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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 F. Canny, and Ken Goldberg · 2018
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Learning synergies between pushing and grasping with self-supervised deep reinforcement learning
Andy Zeng, Shuran Song, Stefan Welker, Johnny Lee, Alberto Rodriguez, and Thomas Funkhouser · 2018
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An origami-inspired reconfigurable suction gripper for picking objects with variable shape and size
Zhenishbek Zhakypov, Florian Heremans, Aude Billard, and Jamie Paik · 2018
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Chen Wang, Shaoxiong Wang, Branden Romero, Filipe Veiga, and Edward Adelson · 2020
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Tossingbot: Learning to throw arbitrary objects with residual physics
Andy Zeng, Shuran Song, Johnny Lee, Alberto Rodriguez, and Thomas Funkhouser · 2020
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Learning dense visual correspondences in simulation to smooth and fold real fabrics
Aditya Ganapathi, Priya Sundaresan, Brijen Thananjeyan, Ashwin Balakrishna, Daniel Seita, Jennifer Grannen, Minho Hwang, Ryan Hoque, Joseph E Gonzalez, Nawid Jamali, et al · 2021
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Flingbot: The unreasonable effectiveness of dynamic manipulation for cloth unfolding
Huy Ha and Shuran Song · 2021
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Planar robot casting with real2sim2real self-supervised learning
Vincent Lim, Huang Huang, Lawrence Yunliang Chen, Jonathan Wang, Jeffrey Ichnowski, Daniel Seita, Michael Laskey, and Ken Goldberg · 2021
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Learning visible connectivity dynamics for cloth smoothing
Xingyu Lin, Yufei Wang, Zixuan Huang, and David Held · 2021
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Learning to rearrange deformable cables, fabrics, and bags with goal-conditioned transporter networks
Daniel Seita, Pete Florence, Jonathan Tompson, Erwin Coumans, Vikas Sindhwani, Ken Goldberg, and Andy Zeng · 2021
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Robots of the lost arc: Self-supervised learning to dynamically manipulate fixed-endpoint cables
Harry Zhang, Jeffrey Ichnowski, Daniel Seita, Jonathan Wang, Huang Huang, and Ken Goldberg · 2021
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Learning pneumatic non-prehensile manipulation with a mobile blower
Jimmy Wu, Xingyuan Sun, Andy Zeng, Shuran Song, Szymon Rusinkiewicz, and Thomas Funkhouser · 2022
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Umpnet: Universal manipulation policy network for articulated objects
Zhenjia Xu, He Zhanpeng, and Shuran Song · 2022
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Examination of the movement of a woven fabric in the horizontal direction using a non-contact end-effector
Babur Ozcelik and Fehmi Erzincanli · 2075
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