Fetching the paper…
Reading the bibliography…
Many existing learning-based grasping approaches concentrate on a single embodiment, provide limited generalization to higher DoF end-effectors and cannot capture a diverse set of grasp modes.
Computing a Trust Region Step
J. J. Moré and D. C. Sorensen · 1983
Earlier work this paper cites.
GraspIt! A Versatile Simulator for Robotic Grasping
A. T. Miller and P. K. Allen · 2004
Earlier work this paper cites.
The Graph Neural Network Model
F. Scarselli, M. Gori, A. C. Tsoi, M. Hagenbuchner, and G. Monfardini · 2009
Earlier work this paper cites.
Learning Grasping Points with Shape Context
J. Bohg and D. Kragic · 2010
Earlier work this paper cites.
Generating Multi-Fingered Robotic Grasps via Deep Learning
J. Varley, J. Weisz, J. Weiss, and P. Allen · 2015
Earlier work this paper cites.
Learning Structured Output Representation using Deep Conditional Generative Models
K. Sohn, H. Lee, and X. Yan · 2015
Earlier work this paper cites.
Detecting Object Affordances with Convolutional Neural Networks
A. Nguyen, D. Kanoulas, D. G. Caldwell, and N. G. Tsagarakis · 2016
Earlier work this paper cites.
High Precision Grasp Pose Detection in Dense Clutter
M. Gualtieri, A. ten Pas, K. Saenko, and R. Platt · 2016
Earlier work this paper cites.
Grasp Pose Detection in Point Clouds
A. ten Pas, M. Gualtieri, K. Saenko, and R. Platt · 2017
Earlier work this paper cites.
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space
C. R. Qi, L. Yi, H. Su, and L. J. Guibas · 2017
Earlier work this paper cites.
Semi-Supervised Classification with Graph Convolutional Networks
T. N. Kipf and M. Welling · 2017
Earlier work this paper cites.
Shape Completion Enabled Robotic Grasping
J. Varley, C. DeChant, A. Richardson, J. Ruales, and P. Allen · 2017
Earlier work this paper cites.
Yale-CMU-Berkeley Dataset for Robotic Manipulation Research
B. Calli, A. Singh, J. Bruce, A. Walsman, K. Konolige, S. Srinivasa, P. Abbeel, and A. M. Dollar · 2017
Earlier work this paper cites.
Learning 6-DOF Grasping Interaction via Deep Geometry-Aware 3D Representations
X. Yan, J. Hsu, M. Khansari, Y. Bai, A. Pathak, A. Gupta, J. Davidson, and H. Lee · 2018
Earlier work this paper cites.
6-DOF GraspNet: Variational Grasp Generation for Object Manipulation
A. Mousavian, C. Eppner, and D. Fox · 2019
Cited alongside, same era.
ContactGrasp: Functional Multi-finger Grasp Synthesis from Contact
S. Brahmbhatt, A. Handa, J. Hays, and D. Fox · 2019
Cited alongside, same era.
TactileGCN: A Graph Convolutional Network for Predicting Grasp Stability with Tactile Sensors
A. Garcia-Garcia, B. S. Zapata-Impata, S. Orts-Escolano, P. Gil, and J. Garcia-Rodriguez · 2019
Cited alongside, same era.
Robust Grasp Planning Over Uncertain Shape Completions
J. Lundell, F. Verdoja, and V. Kyrki · 2019
Cited alongside, same era.
ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging
S. Brahmbhatt, C. Ham, C. C. Kemp, and J. Hays · 2019
Cited alongside, same era.
On the Continuity of Rotation Representations in Neural Networks
Y. Zhou, C. Barnes, J. Lu, J. Yang, and H. Li · 2019
Multi-FinGAN: Generative Coarse-To-Fine Sampling of Multi-Finger Grasps
J. Lundell, E. Corona, T. N. Le, F. Verdoja, P. Weinzaepfel, G. Rogez, F. Moreno-Noguer, and V. Kyrki · 2021
Later among the works it cites.
Synthesizing Diverse and Physically Stable Grasps with Arbitrary Hand Structures using Differentiable Force Closure Estimator
T. Liu, Z. Liu, Z. Jiao, Y. Zhu, and S.-C. Zhu · 2021
Later among the works it cites.
Isaac Gym: High Performance GPU Based Physics Simulation For Robot Learning
V. Makoviychuk, L. Wawrzyniak, Y. Guo, M. Lu, K. Storey, M. Macklin, D. Hoeller, N. Rudin, A. Allshire, A. Handa, and G. State · 2021
Later among the works it cites.
When Transformer Meets Robotic Grasping: Exploits Context for Efficient Grasp Detection
S. Wang, Z. Zhou, and Z. Kan · 2022
Later among the works it cites.
Grasp’D: Differentiable Contact-rich Grasp Synthesis for Multi-fingered Hands
D. Turpin, L. Wang, E. Heiden, Y.-C. Chen, M. Macklin, S. Tsogkas, S. Dickinson, and A. Garg · 2022
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping
H.-S. Fang, C. Wang, M. Gou, and C. Lu · 2020
Cited alongside, same era.
Grasp Proposal Networks: An End-to-End Solution for Visual Learning of Robotic Grasps
C. Wu, J. Chen, Q. Cao, J. Zhang, Y. Tai, L. Sun, and K. Jia · 2020
Cited alongside, same era.
UniGrasp: Learning a Unified Model to Grasp with Multifingered Robotic Hands
L. Shao, F. Ferreira, M. Jorda, V. Nambiar, J. Luo, E. Solowjow, J. A. Ojea, O. Khatib, and J. Bohg · 2020
Cited alongside, same era.
Graph Neural Networks: A Review of Methods and Applications
J. Zhou, G. Cui, S. Hu, Z. Zhang, C. Yang, Z. Liu, L. Wang, C. Li, and M. Sun · 2020
Cited alongside, same era.
Learning Continuous 3D Reconstructions for Geometrically Aware Grasping
M. Van der Merwe, Q. Lu, B. Sundaralingam, M. Matak, and T. Hermans · 2020
Cited alongside, same era.
Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations
Z. Jiang, Y. Zhu, M. Svetlik, K. Fang, and Y. Zhu · 2021
Cited alongside, same era.
EfficientGrasp: A Unified Data-Efficient Learning to Grasp Method for Multi-fingered Robot Hands
K. Li, N. Baron, X. Zhang, and N. Rojas · 2022
Later among the works it cites.
TAX-Pose: Task-Specific Cross-Pose Estimation for Robot Manipulation
C. Pan, B. Okorn, H. Zhang, B. Eisner, and D. Held · 2022
Later among the works it cites.
Learning Object Relations with Graph Neural Networks for Target-Driven Grasping in Dense Clutter
X. Lou, Y. Yang, and C. Choi · 2022
Later among the works it cites.
UniDexGrasp: Universal Robotic Dexterous Grasping via Learning Diverse Proposal Generation and Goal-Conditioned Policy
Y. Xu, W. Wan, J. Zhang, H. Liu, Z. Shan, H. Shen, R. Wang, H. Geng, Y. Weng, J. Chen, et al · 2023
Closest in time.
W. Wan, H. Geng, Y. Liu, Z. Shan, Y. Yang, L. Yi, and H. Wang · 2023
Closest in time.
GenDexGrasp: Generalizable Dexterous Grasping
P. Li, T. Liu, Y. Li, Y. Geng, Y. Zhu, Y. Yang, and S. Huang · 2023
Closest in time.
Fast-Grasp’D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation
D. Turpin, T. Zhong, S. Zhang, G. Zhu, E. Heiden, M. Macklin, S. Tsogkas, S. Dickinson, and A. Garg · 2023
Closest in time.
DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets
I. Huang, Y. Narang, R. Bajcsy, F. Ramos, T. Hermans, and D. Fox · 2023
Closest in time.