Книга "Архитектура сложных веб-приложений. С примерами на Laravel"

paper list of robotic grasping and some related works

GRAB: A Dataset of Whole-Body Human Grasping of Objects

[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation

Toolbox for our GraspNet-1Billion dataset.

Patterns for JavaScript, Node.js, and TypeScript

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

An implementation of our RA-L work 'Real-world Multi-object, Multi-grasp Detection'

Deep learning for grasp detection within MoveIt.

Robotic grasp dataset for multi-object multi-grasp evaluation with RGB-D data. This dataset is annotated using the same protocal as Cornell Dataset, and can be used as multi-object extension of Cornell Dataset.

[ICRA 2024]ASGrasp: Generalizable Transparent Object Reconstruction and 6-DoF Grasp Detection from RGB-D Active Stereo Camera

A curated list of awesome grasping libraries and resources

[ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlong Chen, Xiaohan Chen, Li Shen, Decebal Constantin Mocanu, Zhangyang Wang, Mykola Pechenizkiy

Tutorial on DDD (Domain-Driven Design), by building a Web App with the theme "Personal Finance Management". Adapted from a group project in university.

cornell grasp dataset analyses and process

[ECCV 2022] TransGrasp: Grasp Pose Estimation of a Category of Objects by Transferring Grasps from Only One Labeled Instance

This is my implementation of a branch and price algorithm to solve the humanitarian aid distribution problem. This problem is a VRP with a specific objective function

A grasp simulation environment in gazebo: UR robot arm with a 85mm robotiq gripper that can be drived to grasp things through moveit

RCM is a simple CRM application designed for Auto Parts Store made with ASP.NET Core based on DDD, CQRS and SOLID Principles.

Python binding for Grasp Pose Generator (pyGPG)