Robotics & Machine Learning Daily News2024,Issue(Dec.6) :101-102.

Studies from Bursa Technical University Reveal New Findings on Robotics (Drivabl e path detection for a mobile robot with differential drive using a deep Learnin g based segmentation method for indoor navigation)

Bursa技术大学的研究揭示了机器人学的新发现(使用基于深度学习的室内导航分割方法对差动驱动移动机器人的驱动路径检测)

Robotics & Machine Learning Daily News2024,Issue(Dec.6) :101-102.

Studies from Bursa Technical University Reveal New Findings on Robotics (Drivabl e path detection for a mobile robot with differential drive using a deep Learnin g based segmentation method for indoor navigation)

Bursa技术大学的研究揭示了机器人学的新发现(使用基于深度学习的室内导航分割方法对差动驱动移动机器人的驱动路径检测)

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摘要

由一名新闻记者-机器人与机器学习日报的工作人员新闻编辑每日新闻-关于机器人的新研究结果已经公布。根据新闻报道由NewsRx通讯员从Bursa技术大学发起,研究称:“整合将人工智能引入机器人领域使机器人能够更有意义地完成任务。特别是,深度学习方法大大有助于机器人成为智能控制系统。深度学习的移动网络物理系统的有效使用使移动机器人成为更多Intel Ligent。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - New study results on robotics have bee n published. According to news reportingoriginating from Bursa Technical Univer sity by NewsRx correspondents, research stated, “The integrationof artificial i ntelligence into the field of robotics enables robots to perform their tasks mor e meaningfully. In particular, deep-learning methods contribute significantly to robots becoming intelligent cybernetic systems.The effective use of deep-learn ing mobile cyber-physical systems has enabled mobile robots to becomemore intel ligent.”

Key words

Bursa Technical University/Emerging Tec hnologies/Machine Learning/Nano-robot/Robot/Robotics

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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