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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 51–100 of 246 papers

TitleStatusHype
Self-Supervised Unseen Object Instance Segmentation via Long-Term Robot InteractionCode1
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic GraspingCode1
REGRAD: A Large-Scale Relational Grasp Dataset for Safe and Object-Specific Robotic Grasping in ClutterCode1
Inverse Kinematics for Neuro-Robotic Grasping with Humanoid Embodied AgentsCode1
PyRobot: An Open-source Robotics Framework for Research and BenchmarkingCode1
Depth-aware Object Segmentation and Grasp Detection for Robotic Picking TasksCode1
6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and BenchmarkCode1
Accept Synthetic Objects as Real: End-to-End Training of Attentive Deep Visuomotor Policies for Manipulation in ClutterCode0
TransCG: A Large-Scale Real-World Dataset for Transparent Object Depth Completion and a Grasping BaselineCode0
Asynchronous Events-based Panoptic Segmentation using Graph Mixer Neural NetworkCode0
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage TaskCode0
Deep Reinforcement Learning for Vision-Based Robotic Grasping: A Simulated Comparative Evaluation of Off-Policy MethodsCode0
The CoSTAR Block Stacking Dataset: Learning with Workspace ConstraintsCode0
Towards Confidence-guided Shape Completion for Robotic ApplicationsCode0
Antipodal Robotic Grasping using Generative Residual Convolutional Neural NetworkCode0
Towards Real-World Efficiency: Domain Randomization in Reinforcement Learning for Pre-Capture of Free-Floating Moving Targets by Autonomous RobotsCode0
The Feeling of Success: Does Touch Sensing Help Predict Grasp Outcomes?Code0
3D Semantic Segmentation of Modular Furniture using rjMCMCCode0
The RobotriX: An eXtremely Photorealistic and Very-Large-Scale Indoor Dataset of Sequences with Robot Trajectories and InteractionsCode0
Vision-based Robotic Grasping From Object Localization, Object Pose Estimation to Grasp Estimation for Parallel Grippers: A ReviewCode0
Self-supervised 3D Shape and Viewpoint Estimation from Single Images for RoboticsCode0
Contrastively Learning Visual Attention as Affordance Cues from Demonstrations for Robotic GraspingCode0
Reward Engineering for Object Pick and Place TrainingCode0
A Benchmarking Study of Vision-based Robotic Grasping AlgorithmsCode0
Consensus-Driven Uncertainty for Robotic Grasping based on RGB PerceptionCode0
Composing Pick-and-Place Tasks By Grounding LanguageCode0
State Representations as Incentives for Reinforcement Learning Agents: A Sim2Real Analysis on Robotic GraspingCode0
Solving the Real Robot Challenge using Deep Reinforcement LearningCode0
Shape-biased Texture Agnostic Representations for Improved Textureless and Metallic Object Detection and 6D Pose EstimationCode0
MonoSIM: Simulating Learning Behaviors of Heterogeneous Point Cloud Object Detectors for Monocular 3D Object DetectionCode0
A Fast Method For Computing Principal Curvatures From Range ImagesCode0
Learning Object Placements For Relational Instructions by Hallucinating Scene RepresentationsCode0
Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial SettingsCode0
Adversarial samples for deep monocular 6D object pose estimationCode0
Jacquard: A Large Scale Dataset for Robotic Grasp DetectionCode0
DynGraspVS: Servoing Aided Grasping for Dynamic EnvironmentsCode0
Bimodal SegNet: Instance Segmentation Fusing Events and RGB Frames for Robotic GraspingCode0
Improving Robot Dual-System Motor Learning with Intrinsically Motivated Meta-Control and Latent-Space Experience ImaginationCode0
HiFi-CS: Towards Open Vocabulary Visual Grounding For Robotic Grasping Using Vision-Language ModelsCode0
Action Priors for Large Action Spaces in RoboticsCode0
IKEA Furniture Assembly Environment for Long-Horizon Complex Manipulation TasksCode0
Supertoroid fitting of objects with holes for robotic grasping and scene generationCode0
Distributed Reinforcement Learning of Targeted Grasping with Active Vision for Mobile Manipulators—0
Robotic Grasping of Harvested Tomato Trusses Using Vision and Online Learning—0
DexVIP: Learning Dexterous Grasping with Human Hand Pose Priors from Video—0
Automatic generation of realistic training data for learning parallel-jaw grasping from synthetic stereo images—0
Attribute-Based Robotic Grasping with One-Grasp Adaptation—0
Densely Supervised Grasp Detector (DSGD)—0
Attribute-Based Robotic Grasping with Data-Efficient Adaptation—0
3DSGrasp: 3D Shape-Completion for Robotic Grasp—0
Show:102550
← PrevPage 2 of 5Next →
All datasetsGraspNet-1BillionCornell Grasp DatasetJacquard dataset

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1FlexLoG-CDmAP56.02—Unverified
2GtG2.0mAP53.42—Unverified
3Scale-Balanced-Grasp-CDmAP48.97—Unverified
4graspness-CDmAP48.75—Unverified
5HGGD-CDmAP47.54—Unverified
6HGGDmAP44.24—Unverified
7graspnet-baseline-CDmAP35.45—Unverified
8graspnet-baselinemAP21.41—Unverified
#ModelMetricClaimedVerifiedStatus
1grasp_det_seg_cnn (rgb only, IW split)5 fold cross validation98.2—Unverified
2GR-ConvNet5 fold cross validation97.7—Unverified
3ResNet50 multi-grasp predictor5 fold cross validation96—Unverified
4Multi-Modal Grasp Predictor5 fold cross validation89.21—Unverified
5AlexNet, MultiGrasp5 fold cross validation88—Unverified
6GGCNN5 fold cross validation73—Unverified
7Fast Search5 fold cross validation60.5—Unverified
#ModelMetricClaimedVerifiedStatus
1Efficient-GraspingAccuracy (%)95.6—Unverified
2GR-ConvNetAccuracy (%)94.6—Unverified
3grasp_det_seg_cnn (rgb only)Accuracy (%)92.95—Unverified