首页|Researchers from Xi’an University of Architecture and Technology Detail New Stud ies and Findings in the Area of Robotics (Vision Detection and Path Planning of Mobile Robots for Rebar Binding)
Researchers from Xi’an University of Architecture and Technology Detail New Stud ies and Findings in the Area of Robotics (Vision Detection and Path Planning of Mobile Robots for Rebar Binding)
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NETL
NSTL
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 reporting originating in Xi’an, People’s Repub lic of China, by NewsRx journalists, research stated, “Focused on the problems o f cumbersome operation, low efficiency, and high cost in the traditional manual rebar binding process, we propose a mobile robot vision detection and path-plann ing method for rebar binding to realize automated rebar binding by combining dee p learning and path-planning technology. A MobileNetV3-SSD rebar binding crosspo ints recognition model is built based on TensorFlow deep learning framework, and a crosspoints localization method combining control factor alpha and feature pr ojection curve is introduced to achieve the localization of unbound crosspoints. ” Financial support for this research came from Natural Science Basic Research Pro ject of Shaanxi Province.
Xi’anPeople’s Republic of ChinaAsiaEmerging TechnologiesMachine LearningNano-robotRobotRoboticsXi’an Uni versity of Architecture and Technology
NETL
NSTL
