Robotic Grasping

This task is composed of using Deep Learning to identify how best to grasp objects using robotic arms in different scenarios. This is a very complex task as it might involve dynamic environments and objects unknown to the network.

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 51–75 of 246 papers

Title	Date	Tasks	Status	Hype	Score
Measure Anything: Real-time, Multi-stage Vision-based Dimensional Measurement using Segment Anything	Dec 4, 2024	Keypoint DetectionRobotic Grasping	CodeCode Available	1	5
Orientation Attentive Robotic Grasp Synthesis with Augmented Grasp Map Representation	Jun 9, 2020	Grasp GenerationRobotic Grasping	CodeCode Available	1	5
When Transformer Meets Robotic Grasping: Exploits Context for Efficient Grasp Detection	Feb 24, 2022	DecoderRobotic Grasping	CodeCode Available	1	5
Event-based Robotic Grasping Detection with Neuromorphic Vision Sensor and Event-Stream Dataset	Apr 28, 2020	Robotic Grasping	CodeCode Available	1	5
CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation Tasks	Dec 6, 2021	Continuous ControlImitation Learning	CodeCode Available	1	5
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking Tasks	Nov 22, 2021	Instance SegmentationObject	CodeCode Available	1	5
Depth-based 6DoF Object Pose Estimation using Swin Transformer	Mar 3, 2023	6D Pose Estimation6D Pose Estimation using RGB	CodeCode Available	1	5
State Representations as Incentives for Reinforcement Learning Agents: A Sim2Real Analysis on Robotic Grasping	Sep 21, 2023	Decision Makingreinforcement-learning	CodeCode Available	0	5
Reward Engineering for Object Pick and Place Training	Jan 11, 2020	Objectreinforcement-learning	CodeCode Available	0	5
Accept Synthetic Objects as Real: End-to-End Training of Attentive Deep Visuomotor Policies for Manipulation in Clutter	Sep 24, 2019	Data AugmentationImitation Learning	CodeCode Available	0	5
Solving the Real Robot Challenge using Deep Reinforcement Learning	Sep 30, 2021	Deep Reinforcement Learningreinforcement-learning	CodeCode Available	0	5
PGA: Personalizing Grasping Agents with Single Human-Robot Interaction	Oct 19, 2023	ObjectRobotic Grasping	CodeCode Available	0	5
Asynchronous Events-based Panoptic Segmentation using Graph Mixer Neural Network	May 5, 2023	Panoptic SegmentationRobotic Grasping	CodeCode Available	0	5
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy Methods	Feb 28, 2018	Deep Reinforcement LearningDiversity	CodeCode Available	0	5
Antipodal Robotic Grasping using Generative Residual Convolutional Neural Network	Sep 11, 2019	Robotic Grasping	CodeCode Available	0	5
3D Semantic Segmentation of Modular Furniture using rjMCMC	May 15, 2017	3D Semantic Segmentationfurniture segmentation	CodeCode Available	0	5
MonoSIM: Simulating Learning Behaviors of Heterogeneous Point Cloud Object Detectors for Monocular 3D Object Detection	Aug 19, 2022	3D Object DetectionAutonomous Driving	CodeCode Available	0	5
Learning Object Placements For Relational Instructions by Hallucinating Scene Representations	Jan 23, 2020	Auxiliary LearningRobotic Grasping	CodeCode Available	0	5
Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic Grasping	Apr 2, 2021	Contrastive LearningDecoder	CodeCode Available	0	5
A Benchmarking Study of Vision-based Robotic Grasping Algorithms	Mar 14, 2025	BenchmarkingRobotic Grasping	CodeCode Available	0	5
Consensus-Driven Uncertainty for Robotic Grasping based on RGB Perception	Jun 24, 2025	ObjectPose Estimation	CodeCode Available	0	5
Composing Pick-and-Place Tasks By Grounding Language	Feb 16, 2021	Natural Language Visual GroundingRobotic Grasping	CodeCode Available	0	5
Jacquard: A Large Scale Dataset for Robotic Grasp Detection	Mar 30, 2018	DiversityRobotic Grasping	CodeCode Available	0	5
Learning to Grasp on the Moon from 3D Octree Observations with Deep Reinforcement Learning	Aug 1, 2022	Deep Reinforcement LearningReinforcement Learning (RL)	CodeCode Available	0	5
A Fast Method For Computing Principal Curvatures From Range Images	Jul 3, 2017	GPUObject Recognition	CodeCode Available	0	5

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All datasets GraspNet-1Billion Cornell Grasp Dataset Jacquard dataset

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	FlexLoG-CD	mAP	56.02	—	Unverified
2	GtG2.0	mAP	53.42	—	Unverified
3	Scale-Balanced-Grasp-CD	mAP	48.97	—	Unverified
4	graspness-CD	mAP	48.75	—	Unverified
5	HGGD-CD	mAP	47.54	—	Unverified
6	HGGD	mAP	44.24	—	Unverified
7	graspnet-baseline-CD	mAP	35.45	—	Unverified
8	graspnet-baseline	mAP	21.41	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	grasp_det_seg_cnn (rgb only, IW split)	5 fold cross validation	98.2	—	Unverified
2	GR-ConvNet	5 fold cross validation	97.7	—	Unverified
3	ResNet50 multi-grasp predictor	5 fold cross validation	96	—	Unverified
4	Multi-Modal Grasp Predictor	5 fold cross validation	89.21	—	Unverified
5	AlexNet, MultiGrasp	5 fold cross validation	88	—	Unverified
6	GGCNN	5 fold cross validation	73	—	Unverified
7	Fast Search	5 fold cross validation	60.5	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Efficient-Grasping	Accuracy (%)	95.6	—	Unverified
2	GR-ConvNet	Accuracy (%)	94.6	—	Unverified
3	grasp_det_seg_cnn (rgb only)	Accuracy (%)	92.95	—	Unverified