[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
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Updated
Jun 4, 2022 - Python
[ICRA 2022] CaTGrasp: Learning Category-Level Task-Relevant Grasping in Clutter from Simulation
GRAB: A Dataset of Whole-Body Human Grasping of Objects
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.
Toolbox for our GraspNet-1Billion dataset.
Codebase for the 'BestMan' Mobile Manipulator
[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
[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
Scripts to generate and process point clouds in YCB dataset.
Source code for the "GRASP: Guiding model with RelAtional Semantics using Prompt"
Vision-based robotic arm grasping using deep reinforcement learning
Python bindings for OptFrame C++ Functional Core
This repository was created for the subject of Computer Theory. The propose of this subject is to improve your skills to solve the 0-1 knapsack problem of different ways. The techniques used were Dynamic Programing and two metaheuristics (which are GRASP and TABU search).
Solving SOP with SA, GRASP, Tabu Search algorithms. Include an analytic report.
This project focuses on training robots to grasp everyday objects accurately. We gather a unique point cloud dataset using an iPhone's LiDAR and process it with Polycam. We develop a PointNet model from scratch to perform multi-class classification and part-segmentation, guiding the robot on where to grasp objects.
Heuristics, Metaheuristics and Instance Generator
Pacote Python de Algoritmos de Busca
Somos uma loja de venda de desktops e notebooks. Nossos produtos são os melhores do mercado!
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