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[TRO 2024] Grasp, See and Place: Efficient Unknown Object Rearrangement with Policy Structure Prior
Fast-FoundationStereo: Real-Time Zero-Shot Stereo Matching
Official codebase for the paper "How to build a consistency model: Learning flow maps via self-distillation" (NeurIPS 2025).
Official implementation of the NeurIPS 25 Paper: "Diffusion Generative Modeling on Lie Group Representations"
A curated publication list on evidential deep learning.
[ICCV 2025 Spotlight] DexVLG: Dexterous Vision-Language-Grasp Model at Scale
[CoRL 2025 Oral] ClutterDexGrasp: A Sim-to-Real System for General Dexterous Grasping in Cluttered Scenes
(NeurIPS 2024) Official repository of paper "Grasp as You Say: Language-guided Dexterous Grasp Generation"
Sim-Grasp offers a simulation framework to generate synthetic data and train models for robotic two finger grasping in cluttered environments.
Official code of paper "Efficient Heatmap-Guided 6-Dof Grasp Detection in Cluttered Scenes"
(ECCV 2024) Official implementation of the Economic 6-DoF Grasp Detection Framework (EconomicGrasp).
Neural Grasp Distance Fields for Robot Manipulation
[RA-L 2024] GaussianGrasper: 3D Language Gaussian Splatting for Open-vocabulary Robotic Grasping
Related papers and codes for vision-based robotic grasping
This is a repository for RobustDexGrasp, which achieves robust dexterous grasping of 500+ unseen objects with random poses from single-view perception.
This is a repository for GraspXL, which can generate objective-drive grasping motions for 500k+ objects with different dexterous hands.
code implementation of GraspGPT and FoundationGrasp
Train deep reinforcement learning model for robotics grasping. Choose from different perception layers raw Depth, RGBD and autoencoder. Test the learned models in different scenes and object datasets
[ICML 2025] 🧬 ReQFlow: Rectified Quaternion Flow for Efficient and High-Quality Protein Backbone Generation
FoldFlow: SE(3)-Stochastic Flow Matching for Protein Backbone Generation
RoMa: A lightweight library to deal with 3D rotations in PyTorch.
Code of π^3: Permutation-Equivariant Visual Geometry Learning
This is the supplementary code repository for the paper "Map Space Belief Prediction for Manipulation-Enhanced Mapping"