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Robotic Grasp Detection using Deep Convolutional Neural Networks
v1v2v3v4 (latest)

Robotic Grasp Detection using Deep Convolutional Neural Networks

24 November 2016
Sulabh Kumra
Christopher Kanan
ArXiv (abs)PDFHTML

Papers citing "Robotic Grasp Detection using Deep Convolutional Neural Networks"

50 / 115 papers shown
XGrasp: Gripper-Aware Grasp Detection with Multi-Gripper Data Generation
XGrasp: Gripper-Aware Grasp Detection with Multi-Gripper Data Generation
Yeonseo Lee
Jungwook Mun
Hyosup Shin
Guebin Hwang
Junhee Nam
Taeyeop Lee
Sungho Jo
143
1
0
13 Oct 2025
VCoT-Grasp: Grasp Foundation Models with Visual Chain-of-Thought Reasoning for Language-driven Grasp Generation
VCoT-Grasp: Grasp Foundation Models with Visual Chain-of-Thought Reasoning for Language-driven Grasp Generation
Haoran Zhang
Shuanghao Bai
Wanqi Zhou
Yuedi Zhang
Qi Zhang
Pengxiang Ding
Cheng Chi
Donglin Wang
Badong Chen
LRM
244
1
0
07 Oct 2025
Visual Affordance Prediction: Survey and Reproducibility
Visual Affordance Prediction: Survey and Reproducibility
Tommaso Apicella
Alessio Xompero
Andrea Cavallaro
610
0
0
08 May 2025
RT-Grasp: Reasoning Tuning Robotic Grasping via Multi-modal Large
  Language Model
RT-Grasp: Reasoning Tuning Robotic Grasping via Multi-modal Large Language ModelIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2024
Jinxuan Xu
Shiyu Jin
Yutian Lei
Yuqian Zhang
Liangjun Zhang
LRM
250
13
0
07 Nov 2024
REGNet V2: End-to-End REgion-based Grasp Detection Network for Grippers
  of Different Sizes in Point Clouds
REGNet V2: End-to-End REgion-based Grasp Detection Network for Grippers of Different Sizes in Point Clouds
Binglei Zhao
Han Wang
Jian Tang
Chengzhong Ma
Hanbo Zhang
Jiayuan Zhang
Xuguang Lan
Xingyu Chen
3DPC
209
0
0
12 Oct 2024
HMT-Grasp: A Hybrid Mamba-Transformer Approach for Robot Grasping in Cluttered Environments
HMT-Grasp: A Hybrid Mamba-Transformer Approach for Robot Grasping in Cluttered Environments
Songsong Xiong
Hamidreza Kasaei
459
5
0
04 Oct 2024
A Survey of Embodied Learning for Object-Centric Robotic Manipulation
A Survey of Embodied Learning for Object-Centric Robotic ManipulationMachine Intelligence Research (MIR), 2024
Ying Zheng
Lei Yao
Yuejiao Su
Yi Zhang
Yi Wang
Sicheng Zhao
Yiyi Zhang
Lap-Pui Chau
LM&Ro
354
34
0
21 Aug 2024
Graspness Discovery in Clutters for Fast and Accurate Grasp Detection
Graspness Discovery in Clutters for Fast and Accurate Grasp Detection
Chenxi Wang
Hao-Shu Fang
Minghao Gou
Hongjie Fang
Jin Gao
Cewu Lu
314
176
0
17 Jun 2024
Simple In-place Data Augmentation for Surveillance Object Detection
Simple In-place Data Augmentation for Surveillance Object Detection
Munkh-Erdene Otgonbold
Ganzorig Batnasan
Munkhjargal Gochoo
349
3
0
17 Apr 2024
Improving the Successful Robotic Grasp Detection Using Convolutional
  Neural Networks
Improving the Successful Robotic Grasp Detection Using Convolutional Neural Networks
H. Hosseini
M. T. Masouleh
Ahmad Kalhor
457
13
0
08 Mar 2024
Open-sourced Data Ecosystem in Autonomous Driving: the Present and
  Future
Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future
Guoying Gu
Yang Li
Huijie Wang
Jia Zeng
Huilin Xu
...
Kai Yan
Beipeng Mu
Zhihui Peng
Shaoqing Ren
Yu Qiao
431
31
0
06 Dec 2023
GraNet: A Multi-Level Graph Network for 6-DoF Grasp Pose Generation in
  Cluttered Scenes
GraNet: A Multi-Level Graph Network for 6-DoF Grasp Pose Generation in Cluttered Scenes
Haowen Wang
Wanhao Niu
Chungang Zhuang
188
15
0
06 Dec 2023
FViT-Grasp: Grasping Objects With Using Fast Vision Transformers
FViT-Grasp: Grasping Objects With Using Fast Vision Transformers
Arda Sarp Yenicesu
Berk Cicek
Ozgur S. Oguz
192
2
0
23 Nov 2023
VFAS-Grasp: Closed Loop Grasping with Visual Feedback and Adaptive
  Sampling
VFAS-Grasp: Closed Loop Grasping with Visual Feedback and Adaptive SamplingIEEE International Conference on Robotics and Automation (ICRA), 2023
Pedro Piacenza
Jiacheng Yuan
Jinwook Huh
Volkan Isler
388
5
0
27 Oct 2023
Toward Scalable Visual Servoing Using Deep Reinforcement Learning and
  Optimal Control
Toward Scalable Visual Servoing Using Deep Reinforcement Learning and Optimal Control
Salar Asayesh
Hossein Sheikhi Darani
Mo chen
M. Mehrandezh
Kamal Gupta
167
2
0
02 Oct 2023
Vision-Based Intelligent Robot Grasping Using Sparse Neural Network
Vision-Based Intelligent Robot Grasping Using Sparse Neural Network
Priya Shukla
V. Kushwaha
G. C. Nandi
229
3
0
22 Aug 2023
Exploring Visual Pre-training for Robot Manipulation: Datasets, Models
  and Methods
Exploring Visual Pre-training for Robot Manipulation: Datasets, Models and MethodsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2023
Ya Jing
Xuelin Zhu
Xingbin Liu
Qie Sima
Taozheng Yang
Yunhai Feng
Tao Kong
LM&Ro
282
20
0
07 Aug 2023
NBMOD: Find It and Grasp It in Noisy Background
NBMOD: Find It and Grasp It in Noisy Background
Boyuan Cao
Xinyu Zhou
Congmin Guo
Baohua Zhang
Yuchen Liu
Qianqiu Tan
387
6
0
17 Jun 2023
Constrained Environment Optimization for Prioritized Multi-Agent
  Navigation
Constrained Environment Optimization for Prioritized Multi-Agent Navigation
Zhan Gao
Amanda Prorok
233
13
0
18 May 2023
Reinforcement Learning for Picking Cluttered General Objects with Dense
  Object Descriptors
Reinforcement Learning for Picking Cluttered General Objects with Dense Object DescriptorsIEEE International Conference on Robotics and Automation (ICRA), 2022
Hoang-Giang Cao
Weihao Zeng
I-Chen Wu
OffRLSSL
221
13
0
20 Apr 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
226
0
0
06 Mar 2023
Open-World Object Manipulation using Pre-trained Vision-Language Models
Open-World Object Manipulation using Pre-trained Vision-Language ModelsConference on Robot Learning (CoRL), 2023
Austin Stone
Ted Xiao
Yao Lu
K. Gopalakrishnan
Kuang-Huei Lee
...
Sean Kirmani
Brianna Zitkovich
F. Xia
Chelsea Finn
Karol Hausman
LM&Ro
736
218
0
02 Mar 2023
RGB-D Grasp Detection via Depth Guided Learning with Cross-modal
  Attention
RGB-D Grasp Detection via Depth Guided Learning with Cross-modal AttentionIEEE International Conference on Robotics and Automation (ICRA), 2023
Ran Qin
Haoxiang Ma
Bo-Bin Gao
Di Huang
211
26
0
28 Feb 2023
MotorFactory: A Blender Add-on for Large Dataset Generation of Small
  Electric Motors
MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric MotorsProcedia CIRP (Procedia CIRP), 2023
Chengzhi Wu
Kanran Zhou
Jan-Philipp Kaiser
Norbert Mitschke
Jan F. Klein
Julius Pfrommer
Jürgen Beyerer
G. Lanza
M. Heizmann
K. Furmans
AI4CE
274
13
0
11 Jan 2023
DVGG: Deep Variational Grasp Generation for Dextrous Manipulation
DVGG: Deep Variational Grasp Generation for Dextrous ManipulationIEEE Robotics and Automation Letters (RA-L), 2022
Wei Wei
Daheng Li
Peng Wang
Yiming Li
Wanyi Li
Yongkang Luo
Jun Zhong
228
64
0
21 Nov 2022
Grasp Learning: Models, Methods, and Performance
Grasp Learning: Models, Methods, and Performance
Robert Platt
334
31
0
09 Nov 2022
MMRNet: Improving Reliability for Multimodal Object Detection and
  Segmentation for Bin Picking via Multimodal Redundancy
MMRNet: Improving Reliability for Multimodal Object Detection and Segmentation for Bin Picking via Multimodal Redundancy
Yuhao Chen
Hayden Gunraj
E. Z. Zeng
Robbie Meyer
Maximilian Gilles
Alexander Wong
266
3
0
19 Oct 2022
MonoGraspNet: 6-DoF Grasping with a Single RGB Image
MonoGraspNet: 6-DoF Grasping with a Single RGB ImageIEEE International Conference on Robotics and Automation (ICRA), 2022
Guangyao Zhai
Dianye Huang
Shun-cheng Wu
Hyunjun Jung
Yan Di
Fabian Manhardt
F. Tombari
Nassir Navab
Benjamin Busam
345
46
0
26 Sep 2022
Environment Optimization for Multi-Agent Navigation
Environment Optimization for Multi-Agent NavigationIEEE International Conference on Robotics and Automation (ICRA), 2022
Zhan Gao
Amanda Prorok
298
13
0
22 Sep 2022
Top-Tuning: a study on transfer learning for an efficient alternative to
  fine tuning for image classification with fast kernel methods
Top-Tuning: a study on transfer learning for an efficient alternative to fine tuning for image classification with fast kernel methodsImage and Vision Computing (IVC), 2022
P. D. Alfano
Vito Paolo Pastore
Lorenzo Rosasco
Francesca Odone
282
10
0
16 Sep 2022
A Robotic Visual Grasping Design: Rethinking Convolution Neural Network
  with High-Resolutions
A Robotic Visual Grasping Design: Rethinking Convolution Neural Network with High-Resolutions
Zhangli Zhou
Shaochen Wang
Ziyang Chen
Mingyu Cai
Z. Kan
286
3
0
15 Sep 2022
What You See is What You Grasp: User-Friendly Grasping Guided by
  Near-eye-tracking
What You See is What You Grasp: User-Friendly Grasping Guided by Near-eye-trackingInternational Conference on Development and Learning (ICDL), 2022
Shaochen Wang
Wei Zhang
Zhangli Zhou
Jiaxi Cao
Ziyang Chen
Kang Chen
Bin Li
Z. Kan
318
8
0
13 Sep 2022
A Secure and Efficient Multi-Object Grasping Detection Approach for
  Robotic Arms
A Secure and Efficient Multi-Object Grasping Detection Approach for Robotic ArmsSecurity and Communication Networks (SCN), 2022
Hui Wang
Jieren Cheng
Yichen Xu
Sirui Ni
Zaijia Yang
Jiangpeng Li
252
1
0
08 Sep 2022
DA$^2$ Dataset: Toward Dexterity-Aware Dual-Arm Grasping
DA2^22 Dataset: Toward Dexterity-Aware Dual-Arm GraspingIEEE Robotics and Automation Letters (RA-L), 2022
Guangyao Zhai
Yu Zheng
Ziwei Xu
Xin Kong
Yong Liu
Benjamin Busam
Yi Ren
Nassir Navab
Zhengyou Zhang
292
20
0
31 Jul 2022
Deep Learning Approaches to Grasp Synthesis: A Review
Deep Learning Approaches to Grasp Synthesis: A ReviewIEEE Transactions on robotics (TRO), 2022
Rhys Newbury
Morris Gu
Lachlan Chumbley
Arsalan Mousavian
Clemens Eppner
...
A. Morales
Tamim Asfour
Danica Kragic
Dieter Fox
Akansel Cosgun
385
247
0
06 Jul 2022
Hybrid Physical Metric For 6-DoF Grasp Pose Detection
Hybrid Physical Metric For 6-DoF Grasp Pose DetectionIEEE International Conference on Robotics and Automation (ICRA), 2022
Yuhao Lu
Beixing Deng
Zhenyu Wang
Peiyuan Zhi
Yali Li
Shengjin Wang
239
31
0
22 Jun 2022
Evaluating Gaussian Grasp Maps for Generative Grasping Models
Evaluating Gaussian Grasp Maps for Generative Grasping ModelsIEEE International Joint Conference on Neural Network (IJCNN), 2022
William Prew
T. Breckon
M. Bordewich
Ulrik R Beierholm
3DGS
222
3
0
01 Jun 2022
Open Arms: Open-Source Arms, Hands & Control
Open Arms: Open-Source Arms, Hands & ControlInternational Conference on Control, Automation and Systems (ICCAS), 2022
David Hanson
A. Imran
Gerardo Morales
Vytas Krisciunas
Aditya Sagi
Aman Malali
Rushali Mohbe
Raviteja Upadrashta
257
4
0
20 May 2022
DcnnGrasp: Towards Accurate Grasp Pattern Recognition with Adaptive
  Regularizer Learning
DcnnGrasp: Towards Accurate Grasp Pattern Recognition with Adaptive Regularizer LearningScience China Information Sciences (Sci. China Inf. Sci.), 2022
Xiaoqin Zhang
Ziwei Huang
Jingjing Zheng
Shuo Wang
Xianta Jiang
182
4
0
11 May 2022
I Know What You Draw: Learning Grasp Detection Conditioned on a Few
  Freehand Sketches
I Know What You Draw: Learning Grasp Detection Conditioned on a Few Freehand SketchesIEEE International Conference on Robotics and Automation (ICRA), 2022
Haitao Lin
Chi-Hou Cheang
Yanwei Fu
Xiangyang Xue
192
7
0
09 May 2022
A Novel Generative Convolutional Neural Network for Robot Grasp
  Detection on Gaussian Guidance
A Novel Generative Convolutional Neural Network for Robot Grasp Detection on Gaussian GuidanceIEEE Transactions on Instrumentation and Measurement (IEEE Trans. Instrum. Meas.), 2022
Yuanhao Li
Yu Liu
Zhiqiang Ma
Panfeng Huang
192
15
0
09 May 2022
PEGG-Net: Pixel-Wise Efficient Grasp Generation in Complex Scenes
PEGG-Net: Pixel-Wise Efficient Grasp Generation in Complex Scenes
Haozhe Jasper Wang
Zhiyang Liu
Lei Zhou
Huan Yin
Marcelo H. Ang Jr
3DV
228
1
0
30 Mar 2022
When Transformer Meets Robotic Grasping: Exploits Context for Efficient
  Grasp Detection
When Transformer Meets Robotic Grasping: Exploits Context for Efficient Grasp DetectionIEEE Robotics and Automation Letters (RA-L), 2022
Shaochen Wang
Zhangli Zhou
Z. Kan
ViT
314
113
0
24 Feb 2022
Learning Multi-step Robotic Manipulation Policies from Visual
  Observation of Scene and Q-value Predictions of Previous Action
Learning Multi-step Robotic Manipulation Policies from Visual Observation of Scene and Q-value Predictions of Previous ActionIEEE International Conference on Robotics and Automation (ICRA), 2022
Sulabh Kumra
Shirin Joshi
F. Sahin
344
5
0
23 Feb 2022
Generating Quality Grasp Rectangle using Pix2Pix GAN for Intelligent
  Robot Grasping
Generating Quality Grasp Rectangle using Pix2Pix GAN for Intelligent Robot GraspingMachine Vision and Applications (MVA), 2022
V. Kushwaha
Priya Shukla
G. C. Nandi
GAN
235
14
0
20 Feb 2022
Robotic Grasping from Classical to Modern: A Survey
Robotic Grasping from Classical to Modern: A Survey
Hanbo Zhang
Jian Tang
Shiguang Sun
Xuguang Lan
255
57
0
08 Feb 2022
GATER: Learning Grasp-Action-Target Embeddings and Relations for
  Task-Specific Grasping
GATER: Learning Grasp-Action-Target Embeddings and Relations for Task-Specific GraspingIEEE Robotics and Automation Letters (RA-L), 2021
Mingdong Sun
Yue Gao
160
18
0
27 Nov 2021
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking
  Tasks
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking TasksBritish Machine Vision Conference (BMVC), 2021
Stefan Ainetter
C. Böhm
Rohit Dhakate
Stephan Weiss
Friedrich Fraundorfer
251
13
0
22 Nov 2021
Real-World Semantic Grasp Detection Based on Attention Mechanism
Real-World Semantic Grasp Detection Based on Attention Mechanism
Mingshuai Dong
Shimin Wei
Jianqin Yin
Xiuli Yu
177
2
0
20 Nov 2021
Development of a robust cascaded architecture for intelligent robot
  grasping using limited labelled data
Development of a robust cascaded architecture for intelligent robot grasping using limited labelled data
Priya Shukla
V. Kushwaha
G. C. Nandi
161
4
0
06 Nov 2021
123
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