gpg
by atenpas
Generate grasp pose candidates in point clouds
AI summary
Grasp pose generator
Generates 6-DOF grasp poses for robotic grasping tasks from point clouds
- stars
- 104
- forks
- 60
- watching
- 6
Similar projects
Found by comparing what the projects do, not just their names.
Grasp Pose Detector
Software package for detecting grasp poses in 3D point clouds.
Grasp selector
A package that selects the most suitable grasp poses from multiple candidates based on reachability and movement efficiency.
Grasp detector
Detects grasp poses in 3D point clouds using computer vision and robotics algorithms.
Grasp generator
A C++ library for generating grasp approaches and directions for objects in 3D space.
dougsm/ggcnn525
Grasp predictor
A deep learning-based system for generating precise grasp poses for robots in real-time
Grasping simulator
A simulation environment for learning to grasp objects in 3D space using contact forces
Grasp predictor
This project provides a system to predict 6-DoF grasp distributions from raw point clouds in cluttered scenes.
Grasp detection algorithm
Research code for detecting robotic grasps using deep learning algorithms
Grasp Quality CNN
Develops and analyzes convolutional neural networks for grasp quality in robotics
Human Pose Data
Provides pseudo-GT 3D human pose data and pre-trained models for training 3D pose estimation algorithms
Gazebo Integration Library
Provides tools and APIs to integrate ROS with Gazebo simulator
Motion Capture System
A deep learning framework for multi-view fusion network-based 3D human motion capture system
Object Pose Estimation
Estimates object poses and positions in 3D space from RGB images
Illustration Generator
A Generative Adversarial Networks implementation for modeling illustrations using a custom dataset of anime faces.
Dense reconstruction model
An implementation of CloudWalk's DenseBody paper using PyTorch
