SOTAVerified

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

Showing 101150 of 246 papers

TitleStatusHype
NeRF in the Palm of Your Hand: Corrective Augmentation for Robotics via Novel-View Synthesis0
3DSGrasp: 3D Shape-Completion for Robotic Grasp0
Towards Scale Balanced 6-DoF Grasp Detection in Cluttered ScenesCode1
Causal Counterfactuals for Improving the Robustness of Reinforcement LearningCode1
One-Shot Neural Fields for 3D Object Understanding0
Contact2Grasp: 3D Grasp Synthesis via Hand-Object Contact Constraint0
MonoGraspNet: 6-DoF Grasping with a Single RGB Image0
GP-net: Flexible Viewpoint Grasp Proposal0
A Robotic Visual Grasping Design: Rethinking Convolution Neural Network with High-ResolutionsCode1
Towards Confidence-guided Shape Completion for Robotic ApplicationsCode0
6IMPOSE: Bridging the Reality Gap in 6D Pose Estimation for Robotic GraspingCode1
MonoSIM: Simulating Learning Behaviors of Heterogeneous Point Cloud Object Detectors for Monocular 3D Object DetectionCode0
Learning to Grasp on the Moon from 3D Octree Observations with Deep Reinforcement LearningCode0
Robots Enact Malignant Stereotypes0
Efficient and Robust Training of Dense Object Nets for Multi-Object Robot Manipulation0
Evaluating Gaussian Grasp Maps for Generative Grasping Models0
Physics-Guided Hierarchical Reward Mechanism for Learning-Based Robotic Grasping0
Open Arms: Open-Source Arms, Hands & Control0
Action Conditioned Tactile Prediction: case study on slip predictionCode1
Learning 6-DoF Object Poses to Grasp Category-level Objects by Language Instructions0
HRPose: Real-Time High-Resolution 6D Pose Estimation Network Using Knowledge Distillation0
GloCAL: Glocalized Curriculum-Aided Learning of Multiple Tasks with Application to Robotic Grasping0
Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin Picking0
Learning to Synthesize Volumetric Meshes from Vision-based Tactile Imprints0
6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and BenchmarkCode1
3D object reconstruction and 6D-pose estimation from 2D shape for robotic grasping of objects0
Adversarial samples for deep monocular 6D object pose estimationCode0
When Transformer Meets Robotic Grasping: Exploits Context for Efficient Grasp DetectionCode1
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping BaselineCode0
SAFER: Data-Efficient and Safe Reinforcement Learning via Skill Acquisition0
DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video0
You Only Demonstrate Once: Category-Level Manipulation from Single Visual DemonstrationCode2
MetaGraspNet_v0: A Large-Scale Benchmark Dataset for Vision-driven Robotic Grasping via Physics-based Metaverse SynthesisCode1
Automatic generation of realistic training data for learning parallel-jaw grasping from synthetic stereo images0
CALVIN: A Benchmark for Language-Conditioned Policy Learning for Long-Horizon Robot Manipulation TasksCode1
DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration0
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking TasksCode1
MPF6D: Masked Pyramid Fusion 6D Pose Estimation0
6D Pose Estimation with Combined Deep Learning and 3D Vision Techniques for a Fast and Accurate Object Grasping0
"Good Robot! Now Watch This!": Repurposing Reinforcement Learning for Task-to-Task TransferCode1
When Neural Networks Using Different Sensors Create Similar Features0
Validate on Sim, Detect on Real -- Model Selection for Domain Randomization0
Solving the Real Robot Challenge using Deep Reinforcement LearningCode0
SAFER: Data-Efficient and Safe Reinforcement Learning Through Skill Acquisition0
Simulation-based Bayesian inference for multi-fingered robotic grasping0
Sample-Efficient Safety Assurances using Conformal Prediction0
CLIPort: What and Where Pathways for Robotic ManipulationCode1
The Role of Tactile Sensing in Learning and Deploying Grasp Refinement AlgorithmsCode1
Robust Extrinsic Symmetry Estimation in 3D Point Clouds0
CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from SimulationCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FlexLoG-CDmAP56.02Unverified
2GtG2.0mAP53.42Unverified
3Scale-Balanced-Grasp-CDmAP48.97Unverified
4graspness-CDmAP48.75Unverified
5HGGD-CDmAP47.54Unverified
6HGGDmAP44.24Unverified
7graspnet-baseline-CDmAP35.45Unverified
8graspnet-baselinemAP21.41Unverified
#ModelMetricClaimedVerifiedStatus
1grasp_det_seg_cnn (rgb only, IW split)5 fold cross validation98.2Unverified
2GR-ConvNet5 fold cross validation97.7Unverified
3ResNet50 multi-grasp predictor5 fold cross validation96Unverified
4Multi-Modal Grasp Predictor5 fold cross validation89.21Unverified
5AlexNet, MultiGrasp5 fold cross validation88Unverified
6GGCNN5 fold cross validation73Unverified
7Fast Search5 fold cross validation60.5Unverified
#ModelMetricClaimedVerifiedStatus
1Efficient-GraspingAccuracy (%)95.6Unverified
2GR-ConvNetAccuracy (%)94.6Unverified
3grasp_det_seg_cnn (rgb only)Accuracy (%)92.95Unverified