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Grasp Learning: Models, Methods, and Performance

Grasp Learning: Models, Methods, and Performance

9 November 2022
Robert W. Platt
ArXivPDFHTML

Papers citing "Grasp Learning: Models, Methods, and Performance"

16 / 16 papers shown
Title
Grasp the Graph (GtG) 2.0: Ensemble of GNNs for High-Precision Grasp Pose Detection in Clutter
Grasp the Graph (GtG) 2.0: Ensemble of GNNs for High-Precision Grasp Pose Detection in Clutter
Ali Rashidi Moghadam
Sayedmohammadreza Rastegari
M. T. Masouleh
Ahmad Kalhor
22
0
0
05 May 2025
Sampling-Based Grasp and Collision Prediction for Assisted Teleoperation
Sampling-Based Grasp and Collision Prediction for Assisted Teleoperation
Simon Manschitz
Berk Gueler
Wei Ma
Dirk Ruiken
16
0
0
25 Apr 2025
Language-driven Grasp Detection with Mask-guided Attention
Language-driven Grasp Detection with Mask-guided Attention
Tuan V. Vo
M. Vu
Baoru Huang
An Vuong
Ngan Le
T. Vo
Anh Nguyen
24
3
0
29 Jul 2024
Language-driven Grasp Detection
Language-driven Grasp Detection
An Dinh Vuong
Minh Nhat Vu
Baoru Huang
Nghia Nguyen
Hieu Le
T. Vo
Anh Nguyen
VLM
23
18
0
13 Jun 2024
Information-driven Affordance Discovery for Efficient Robotic
  Manipulation
Information-driven Affordance Discovery for Efficient Robotic Manipulation
Pietro Mazzaglia
Taco Cohen
Daniel Dijkman
22
2
0
06 May 2024
Robot Learning in the Era of Foundation Models: A Survey
Robot Learning in the Era of Foundation Models: A Survey
Xuan Xiao
Jiahang Liu
Zhipeng Wang
Yanmin Zhou
Yong Qi
Qian Cheng
Bin He
Shuo Jiang
AI4CE
LM&Ro
10
25
0
24 Nov 2023
Enhancing Grasping Performance of Novel Objects through an Improved
  Fine-Tuning Process
Enhancing Grasping Performance of Novel Objects through an Improved Fine-Tuning Process
Xiao Hu
Xiangsheng Chen
6
0
0
28 Oct 2023
Grasp-Anything: Large-scale Grasp Dataset from Foundation Models
Grasp-Anything: Large-scale Grasp Dataset from Foundation Models
An Vuong
Minh Nhat Vu
Hieu Le
Baoru Huang
B. Huynh
T. Vo
Andreas Kugi
Anh Nguyen
VLM
8
28
0
18 Sep 2023
Grasp Transfer based on Self-Aligning Implicit Representations of Local
  Surfaces
Grasp Transfer based on Self-Aligning Implicit Representations of Local Surfaces
Ahmet E. Tekden
M. Deisenroth
Yasemin Bekiroglu
13
5
0
15 Aug 2023
Learning Any-View 6DoF Robotic Grasping in Cluttered Scenes via Neural
  Surface Rendering
Learning Any-View 6DoF Robotic Grasping in Cluttered Scenes via Neural Surface Rendering
Snehal Jauhri
Ishikaa Lunawat
Georgia Chalvatzaki
17
6
0
12 Jun 2023
On Robot Grasp Learning Using Equivariant Models
On Robot Grasp Learning Using Equivariant Models
Xu Zhu
Dian Wang
Guanang Su
Ondrej Biza
Robin G. Walters
Robert W. Platt
8
9
0
10 Jun 2023
ONE PIECE: One Patchwork In Effectively Combined Extraction for grasp
ONE PIECE: One Patchwork In Effectively Combined Extraction for grasp
Xiao Hu
Hangjie Mo
X. Chen
Jinliang Chen
Xiangyu Chen
3DPC
11
0
0
06 Mar 2023
6-DoF Robotic Grasping with Transformer
6-DoF Robotic Grasping with Transformer
Zhenjie Zhao
Han Yu
Hang Wu
Xuebo Zhang
ViT
18
0
0
29 Jan 2023
Sample Efficient Grasp Learning Using Equivariant Models
Sample Efficient Grasp Learning Using Equivariant Models
Xu Zhu
Dian Wang
Ondrej Biza
Guanang Su
Robin G. Walters
Robert W. Platt
DRL
81
66
0
18 Feb 2022
EGAD! an Evolved Grasping Analysis Dataset for diversity and
  reproducibility in robotic manipulation
EGAD! an Evolved Grasping Analysis Dataset for diversity and reproducibility in robotic manipulation
D. Morrison
Peter Corke
Jurgen Leitner
102
134
0
03 Mar 2020
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
210
13,886
0
02 Dec 2016
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