Robotics & Machine Learning Daily News2024，Issue(Jul.4) ：72-73.

Data from Shenzhen Technology University Advance Knowledge in Robotics (Robot Gr asp In Cluttered Scene Using a Multi-stage Deep Learning Model)

来自深圳理工大学的数据先进机器人知识（使用多级深度学习模型的复杂场景中的机器人Gr ASP）

Robotics & Machine Learning Daily News2024，Issue(Jul.4) ：72-73.
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Data from Shenzhen Technology University Advance Knowledge in Robotics (Robot Gr asp In Cluttered Scene Using a Multi-stage Deep Learning Model)

来自深圳理工大学的数据先进机器人知识（使用多级深度学习模型的复杂场景中的机器人Gr ASP）

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摘要

由一名新闻记者-机器人与机器学习每日新闻的工作人员新闻编辑-调查人员发布了关于机器人的新报告。根据深圳的新闻报道，By NewsRx记者的研究表明：“在复杂场景中抓取物体是一种实用的机器人技能，具有广泛的应用前景，本文提出了一种新的最大抓取度度量，可以有效地提取高质量的物体抓取点。”这项研究的资金来自深圳科技公司。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ro botics. According to news reporting from Shenzhen, People’s Republic of China, b y NewsRx journalists, research stated, “Object grasping in cluttered scene is a practical robotic skill which has a wide range of applications. In this paper, w e propose a novel maximum graspness metric which can help extract high-quality s cene grasp points effectively.” Financial support for this research came from Shenzhen Science and Technology.

Key words

Shenzhen/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Robot/Robotics/Robots/Shenzhen T echnology University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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