gpg
Grasp pose generator
Generates 6-DOF grasp poses for robotic grasping tasks from point clouds
Generate grasp pose candidates in point clouds
104 stars
6 watching
60 forks
Language: C++
last commit: about 6 years ago graspingroboticsros
Related projects:
Repository | Description | Stars |
---|---|---|
| Software package for detecting grasp poses in 3D point clouds. | 646 |
| A package that selects the most suitable grasp poses from multiple candidates based on reachability and movement efficiency. | 16 |
| Detects grasp poses in 3D point clouds using computer vision and robotics algorithms. | 74 |
| A C++ library for generating grasp approaches and directions for objects in 3D space. | 97 |
| A deep learning-based system for generating precise grasp poses for robots in real-time | 525 |
| A simulation environment for learning to grasp objects in 3D space using contact forces | 23 |
| This project provides a system to predict 6-DoF grasp distributions from raw point clouds in cluttered scenes. | 2 |
| Research code for detecting robotic grasps using deep learning algorithms | 42 |
| Develops and analyzes convolutional neural networks for grasp quality in robotics | 316 |
| Provides pseudo-GT 3D human pose data and pre-trained models for training 3D pose estimation algorithms | 379 |
| Provides tools and APIs to integrate ROS with Gazebo simulator | 789 |
| A deep learning framework for multi-view fusion network-based 3D human motion capture system | 52 |
| Estimates object poses and positions in 3D space from RGB images | 1,031 |
| A Generative Adversarial Networks implementation for modeling illustrations using a custom dataset of anime faces. | 269 |
| An implementation of CloudWalk's DenseBody paper using PyTorch | 411 |