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A challenge in robot grasping is to achieve task-grasping which is to select a grasp that is advantageous to the success of tasks before and after grasps.
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Alan H Barr · 1981
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Michael Anthony Arbib · 1985
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Randy C Brost · 1988
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Mark R Cutkosky et al · 1989
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Toward an assembly plan from observation. i. task recognition with polyhedral objects
Katsushi Ikeuchi and Takashi Suehiro · 1994
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Toward automatic robot instruction from perception-mapping human grasps to manipulator grasps
Sing Bing Kang and Katsushi Ikeuchi · 1997
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Tsuneo Yoshikawa · 1999
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Robotic grasping and contact: A review
Antonio Bicchi and Vijay Kumar · 2000
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An introductory study of common grasps used by adults during performance of activities of daily living
Margarita Vergara, J.L. Sancho-Bru, V. Gracia-Ibáñez, and A. Pérez-González · 2014
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Deep learning for detecting robotic grasps
Ian Lenz, Honglak Lee, and Ashutosh Saxena · 2015
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Real-time grasp detection using convolutional neural networks
Joseph Redmon and Anelia Angelova · 2015
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The ycb object and model set: Towards common benchmarks for manipulation research
Berk Calli, Arjun Singh, Aaron Walsman, Siddhartha Srinivasa, Pieter Abbeel, and Aaron M Dollar · 2015
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Robot grasp detection using multimodal deep convolutional neural networks
Zhichao Wang, Zhiqi Li, Bin Wang, and Hong Liu · 2016
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End-to-end training of deep visuomotor policies
Sergey Levine, Chelsea Finn, Trevor Darrell, and Pieter Abbeel · 2016
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Learning complex dexterous manipulation with deep reinforcement learning and demonstrations
Aravind Rajeswaran, Vikash Kumar, Abhishek Gupta, Giulia Vezzani, John Schulman, Emanuel Todorov, and Sergey Levine · 2017
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Proximal policy optimization algorithms
John Schulman, Filip Wolski, Prafulla Dhariwal, Alec Radford, and Oleg Klimov · 2017
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Leveraging contact forces for learning to grasp
Hamza Merzić, Miroslav Bogdanović, Daniel Kappler, Ludovic Righetti, and Jeannette Bohg · 2019
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Task-oriented motion mapping on robots of various configuration using body role division
Kazuhiro Sasabuchi, Naoki Wake, and Katsushi Ikeuchi · 2020
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Rl-cyclegan: Reinforcement learning aware simulation-to-real
Kanishka Rao, Chris Harris, Alex Irpan, Sergey Levine, Julian Ibarz, and Mohi Khansari · 2020
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Mat: Multi-fingered adaptive tactile grasping via deep reinforcement learning
Bohan Wu, Iretiayo Akinola, Jacob Varley, and Peter K. Allen · 2020
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Grasp-type recognition leveraging object affordance
Naoki Wake, Kazuhiro Sasabuchi, and Katsushi Ikeuchi · 2020
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A learning-from-observation framework: One-shot robot teaching for grasp-manipulation-release household operations
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Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection
Sergey Levine, Peter Pastor, Alex Krizhevsky, Julian Ibarz, and Deirdre Quillen · 2018
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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, et al · 2018
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More than a feeling: Learning to grasp and regrasp using vision and touch
Roberto Calandra, Andrew Owens, Dinesh Jayaraman, Justin Lin, Wenzhen Yuan, Jitendra Malik, Edward H Adelson, and Sergey Levine · 2018
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Tactile regrasp: Grasp adjustments via simulated tactile transformations
Francois R Hogan, Maria Bauza, Oleguer Canal, Elliott Donlon, and Alberto Rodriguez · 2018
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Deepmimic: Example-guided deep reinforcement learning of physics-based character skills
Xue Bin Peng, Pieter Abbeel, Sergey Levine, and Michiel van de Panne · 2018
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Describing upper-body motions based on labanotation for learning-from-observation robots
Katsushi Ikeuchi, Zhaoyuan Ma, Zengqiang Yan, Shunsuke Kudoh, and Minako Nakamura · 2018
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Naoki Wake, Riku Arakawa, Iori Yanokura, Takuya Kiyokawa, Kazuhiro Sasabuchi, Jun Takamatsu, and Katsushi Ikeuchi · 2021
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Natural object manipulation using anthropomorphic robotic hand through deep reinforcement learning and deep grasping probability network
Edwin Valarezo Añazco, Patricio Rivera Lopez, Nahyeon Park, Jiheon Oh, Gahyeon Ryu, Mugahed A Al-antari, and Tae-Seong Kim · 2021
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Learning dexterous grasping with object-centric visual affordances
Priyanka Mandikal and Kristen Grauman · 2021
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Tactile grasp refinement using deep reinforcement learning and analytic grasp stability metrics
Alexander Koenig, Zixi Liu, Lucas Janson, and Robert Howe · 2021
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Verbal focus-of-attention system for learning-from-observation
Naoki Wake, Iori Yanokura, Kazuhiro Sasabuchi, and Katsushi Ikeuchi · 2021
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