As the energy sector is “poised to transform” through the use of robotics, autonomy & AI, it is time to maximise the impact of inspection and asset management across the nuclear, oil & gas, petrochemical, municipal, mining, renewables and defence industries.
We will kick off the presentation by introducing Argus by Nexxis a perception pack designed and manufactured in Australia. Argus utilises Wildcat 3D SLAM technology to enable superior localisation in enclosed and GPS denied environments. These capabilities enable efficient path planning, defect localisation and as-built 3D models to enable high accuracy data capture and workflows. The robust 3D mapping and defect localisation capabilities ensure points of interests are spatially located and monitored over time, improving safety outcomes and reducing costs.
Next we will show how robot inspection crawlers can be deployed to undertake remote visual inspection in hard to reach places that may be difficult or even impossible to inspect using traditional methods. Locations that feature complex geometries with variable diameters. These robots can ‘pause’ in regions of interest to inspect thoroughly. This method overcomes the limitations of traditional human entry or working at height.
Then we will discuss how digital twin technology utilises real time data and human input for predictive maintenance, asset life cycle, process performance and much more. Integrating the tools and payloads required to get hands on from outside the asset to carry out remote maintenance and repair without the need for confined space entry or working at height.
To conclude the presentation, robotic autonomy and AI in inspections are not only a technological advancement but also a necessity for industries looking to enhance safety, operations and data. We will show how Nexxis is already putting to practice what is being theorised elsewhere, and enabling the energy sector to stay ahead of the curve. Let’s explore how we see, touch and repair assets with robotics to achieve unparalleled safety and efficiency in the digital age