Robotics & Machine Learning Daily News2024,Issue(Oct.14) :53-54.

Research on Robotics Discussed by Researchers at Chongqing Jiaotong University ( Lightweight Sewer Pipe Crack Detection Method Based on Amphibious Robot and Impr oved YOLOv8n)

Robotics & Machine Learning Daily News2024,Issue(Oct.14) :53-54.

Research on Robotics Discussed by Researchers at Chongqing Jiaotong University ( Lightweight Sewer Pipe Crack Detection Method Based on Amphibious Robot and Impr oved YOLOv8n)

扫码查看

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on robotics are presented i n a new report. According to news originating from Chongqing, People’s Republic of China, by NewsRx editors, the research stated, “Aiming at the problem of diff icult crack detection in underground urban sewage pipelines, a lightweight sewag e pipeline crack detection method based on sewage pipeline robots and improved Y OLOv8n is proposed.” Funders for this research include Chongqing Natural Science Foundation Joint Fun d For Innovation And Development; Scientific And Technological Research Program of Chongqing Municipal Education Commission; Research And Innovation Program For Graduate Students in Chongqing; Research, Development, And Engineering Applicat ion of Bionic Robots For Urban Surveying in Mountainous Areas.

Key words

Chongqing Jiaotong University/Chongqing/People’s Republic of China/Asia/Emerging Technologies/Machine Learning/Nan o-robot/Robot/Robotics

引用本文复制引用

出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
段落导航相关论文