Robotic manipulation of cloth is a highly complex task because of its infinite-dimensional shape-state space that makes cloth state estimation very difficult. In this paper we introduce …
C Yan - Journal of Physics: Conference Series, 2020 - iopscience.iop.org
Abstract the Task of Robot Path Planning Based on Artificial Intelligence Algorithm is to Determine an Optimal Strategy, with the Goal of Maximizing the Return. When the Robot is …
Les maladies neuromusculaires sont très fréquentes chez les enfants suivis en réadaptation. Ces maladies se traduisent par des faiblesses musculaires, des troubles de …
I Mahmoud, I Saidi - 2022 5th International Conference on …, 2022 - ieeexplore.ieee.org
In this paper, the problem of rehabilitation of the upper limb using exoskeletons has been addressed. More specifically, we have proposed a command specifically dedicated to these …
In Computer Vision, edge detection is one of the favored approaches for feature and object detection in images since it provides information about their objects boundaries. Other …
Les patients affectés par des troubles neuromusculaires ont des faiblesses musculaires pouvant réduire leur capacité à réaliser des tâches essentielles telles que manger ou s' …
Convolutional Neural Networks (CNNs) and Deep Learning (DL) revolutionized numerous research fields including robotics, natural language processing, self-driving cars, healthcare …
(Eng) In this work we study various mathematical problems arising from the robotic manipulation of cloth. First, we develop a locking-free continuous model for the physical …
Le problème de guidage autonome est un domaine de recherche en constante évolution. La popularisation des drones a étendu ce domaine de recherche au cours des dernières …