机器人抓取(Robotic manipulation/grasping)是机器人智能化发展道路上亟待解决的问题之一。相较于传统的开环控制系统,本文将从基于视觉,基于视觉和语音,基于视觉和触觉三个方向出发,介绍机器人抓取的相关研究进展,并罗列相关的文章供大家查找阅读。 1、基于视觉信息的机器人抓取学习 Google AI Blog: Grasp2Vec: Learning...
M.R. Cutkosky, Robot Grasping and Fine Manipulation (Kluwer Academic, Boston, 1985) Book Google Scholar T. Iberall, Int. J. Robot. Res. 16, 285 (1997) Article Google Scholar G. Kurillo, T. Bajd, R. Kamnik, J. Autom. Control 12(1), 38 (2002) Article Google Scholar G...
A grasping robot includes: a grasping mechanism configured to grasp a target object; an image-pickup unit configured to shoot a surrounding environment; an extraction unit configured to extract a graspable part that can be grasped by the grasping mechanism in the surrounding environment by using a...
1)A partially observable Markov decision process (POMDP)framework for ambidextrous robot grasping based on robust wrench resistance as a common reward function. 2)An ambidextrous grasping policy trained on the Dex-Net 4.0dataset that plans a grasp to maximize quality using a separate GQ-CNN for ea...
5 Learning Hand-Eye Coordination for Robotic Grasping with Deep Learning and Large-Scale Data Collection 一作依然是Sergey Levine。这篇文章也很有名,google土豪啊,用了十几个机械臂训练几个月收集数据: 这篇文章的出发点就是一个,看看收集巨量数据能否训练出不错的效果。于是他们构建了个很大的神经网络来训练...
A crucial role in the control of grasping is played by contact constraints. All the interactions between the robotic hand and the grasped object occur at the contacts whose understanding is paramount (Salisbury and Roth1983). The unilateral nature of contact interaction in grasping makes the control...
Robot grasping constitutes an essential capability in fulfilling the complexities of advanced industrial operations. This field has been extensively investigated to address a range of practical applications. However, the generation of a stable grasp rema
micromachines Article Research on Robot Grasping Based on Deep Learning for Real-Life Scenarios Jie Hu 1 , Qin Li 1,* and Qiang Bai 2 1 College of Big Data Statistics, Guizhou University of Finance and Economics, Guiyang 550025, China; jason.houu@gmail.com 2 School of Mechanical Engineering...
Detecting grasping positions with deep neural networks using RGB images (The model is uploaded but you can train better yourself if you have the time and the machine or if you are learning Tensorflow/ML. Please bear in mind that you need to read and adapt to your needs some parts of the...
: One of the major challenges of agricultural robots is the grasping and picking fresh fruit and vegetable without any damage under the complex environment. In order to minimize the harm due to robot grasp, this paper mainly introduces a dexterous multisensory gripper designand also develops a ne...