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Grasp Generation

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Showing 26–50 of 52 papers

TitleStatusHype
RegionGrasp: A Novel Task for Contact Region Controllable Hand Grasp Generation—0
SemGrasp: Semantic Grasp Generation via Language Aligned Discretization—0
Task-Oriented 6-DoF Grasp Pose Detection in Clutters—0
Reactive Human-to-Robot Handovers of Arbitrary Objects—0
Automatic generation of realistic training data for learning parallel-jaw grasping from synthetic stereo images—0
Beyond Top-Grasps Through Scene Completion—0
CoGrasp: 6-DoF Grasp Generation for Human-Robot Collaboration—0
Constrained 6-DoF Grasp Generation on Complex Shapes for Improved Dual-Arm Manipulation—0
Controllable Hand Grasp Generation for HOI and Efficient Evaluation Methods—0
Deep Generative Models in Robotics: A Survey on Learning from Multimodal Demonstrations—0
DexDiffuser: Generating Dexterous Grasps with Diffusion Models—0
DMFC-GraspNet: Differentiable Multi-Fingered Robotic Grasp Generation in Cluttered Scenes—0
EvolvingGrasp: Evolutionary Grasp Generation via Efficient Preference Alignment—0
GAGrasp: Geometric Algebra Diffusion for Dexterous Grasping—0
GenH2R: Learning Generalizable Human-to-Robot Handover via Scalable Simulation, Demonstration, and Imitation—0
GenH2R: Learning Generalizable Human-to-Robot Handover via Scalable Simulation Demonstration and Imitation—0
GraspGen: A Diffusion-based Framework for 6-DOF Grasping with On-Generator Training—0
Grasping a Handful: Sequential Multi-Object Dexterous Grasp Generation—0
Hand-Object Contact Consistency Reasoning for Human Grasps Generation—0
HUP-3D: A 3D multi-view synthetic dataset for assisted-egocentric hand-ultrasound pose estimation—0
Learning Any-View 6DoF Robotic Grasping in Cluttered Scenes via Neural Surface Rendering—0
Contact2Grasp: 3D Grasp Synthesis via Hand-Object Contact Constraint—0
Learning Precise Affordances from Egocentric Videos for Robotic Manipulation—0
Long-Horizon Manipulation of Unknown Objects via Task and Motion Planning with Estimated Affordances—0
Multi-fingered Robotic Hand Grasping in Cluttered Environments through Hand-object Contact Semantic Mapping—0
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