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2011.09584
Cited By
ACRONYM: A Large-Scale Grasp Dataset Based on Simulation
IEEE International Conference on Robotics and Automation (ICRA), 2020
18 November 2020
Clemens Eppner
Arsalan Mousavian
Dieter Fox
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Papers citing
"ACRONYM: A Large-Scale Grasp Dataset Based on Simulation"
50 / 155 papers shown
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31 Oct 2025
Pelican-VL 1.0: A Foundation Brain Model for Embodied Intelligence
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211
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Learning to Grasp Anything by Playing with Random Toys
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Yuvan Sharma
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Rachel Ding
Matteo Gioia
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Trevor Darrell
Jitendra Malik
Roei Herzig
Roei Herzig
203
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14 Oct 2025
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222
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0
24 Sep 2025
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Geonhyup Lee
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195
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Balakumar Sundaralingam
173
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0
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Variational Shape Inference for Grasp Diffusion on SE(3)
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130
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347
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0
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Guangyao Zhai
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253
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Naman Patel
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Ramesh Karri
Farshad Khorrami
378
1
0
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Tactile-based Reinforcement Learning for Adaptive Grasping under Observation Uncertainties
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177
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Rose Hendrix
578
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407
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330
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418
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ZeroGrasp: Zero-Shot Shape Reconstruction Enabled Robotic Grasping
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Katherine Liu
Vitor Campagnolo Guizilini
Robert Lee
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Ayako Amma
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425
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Diffusion Models for Robotic Manipulation: A Survey
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Yitian Shi
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616
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GraspClutter6D: A Large-scale Real-world Dataset for Robust Perception and Grasping in Cluttered Scenes
IEEE Robotics and Automation Letters (IEEE RA-L), 2025
S. Back
J. Lee
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Heeseon Rho
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Youngjin Lee
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427
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0
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DexTOG: Learning Task-Oriented Dexterous Grasp with Language
IEEE Robotics and Automation Letters (IEEE RA-L), 2025
Jieyi Zhang
Wenqiang Xu
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Pengfei Xie
Tutian Tang
Cewu Lu
797
7
0
06 Apr 2025
Corner-Grasp: Multi-Action Grasp Detection and Active Gripper Adaptation for Grasping in Cluttered Environments
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283
4
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401
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406
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Task-Oriented 6-DoF Grasp Pose Detection in Clutters
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An-Lan Wang
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379
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284
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Yu-Wei Chao
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459
25
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490
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SuperQ-GRASP: Superquadrics-based Grasp Pose Estimation on Larger Objects for Mobile-Manipulation
IEEE International Conference on Robotics and Automation (ICRA), 2024
Xun Tu
Karthik Desingh
684
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Get a Grip: Multi-Finger Grasp Evaluation at Scale Enables Robust Sim-to-Real Transfer
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257
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338
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