The project aims to develop an autonomous mobile robot for inspection of substations to take care of repetitive and time-consuming inspection activities on a regular basis. The robot will be equipped with a wide array of sensors (IRIS control cameras, IR thermal sensors, LIDAR, fire alarms) and an autonomously (along with tele-operation feature) navigating platform which will roam around a substation and perform regular inspection for any damages in components that are essential for continuous running of the sub-station.
The robot will utilize advanced vision processing and machine learning algorithms to independently identify and flag any damages or failure to any critical components in the substation and automatically trigger an alarm. Use of such robot will also allow ground staff to access areas in a substation that are manually difficult to inspect. The robot will be trained using condition monitoring algorithms based on machine learning.