A Novel Orientation Approach in Artificial Intelligence for Mounting Robots Utilizing a Three-Dimensional Framework of the Broadcast Tower

Machines with adaptable behavior and certain humanlike physical traits have been designed for industry, but they do not resemble humans in any way. The study of specialized robots for certain difficult working conditions has steadily become a hot issue as robot technology has advanced and their use has spread. When deployed to transmission towers, the climbing robot serves as a replacement for people doing bolt tightening, detection, and other operations at dangerous heights, thereby enhancing the effectiveness of transmission tower maintenance while also protecting workers' lives. Yet, the transmission tower climbing robot's limited commercial uses may be largely attributed to its inability to independently find itself inside the transmission tower's complicated model. In order to ensure the operating precision of climbing robots, this study provides an Artificial intelligent placement strategy that combines the transmission tower with optical sensor information. Experiments have shown that the approach can pinpoint a location to within 2 cm.