There’s no doubt about the benefits uncrewed systems have had on inspections – from time and money savers to increased safety for inspectors. Now is the time to consider the benefits of leveraging AI in these inspections – and seeing the value this technology can bring in both identifying issues and processing data.
During a recent webinar, our COO, Ben Williams, joined Nicholas FLom, Specialist Leader at Deloitte Consulting to discuss the current state of autonomous robotics and how they're being used to innovate industrial inspections across a variety of industries.
For those that weren't able to attend live, we've compiled their top takeaways and a full recording of the discussion that you can find below.
Top Takeaways
- The least interesting but most important feature of an autonomous robot is reliability. If you don't trust an autonomous system to do it's job you won't use it and put more cognitive load back onto the operator. True autonomy requires reliability.
- It's better to build an autonomous robots that survey teams can use for multiple inspection missions instead of highly specialized robots for individual tasks. It enables teams to do more with less, and can tackle multiple mission areas without having to purchase and train with a ton of hardware.
- Machine learning models provide autonomous AI with a huge opportunity to identify and inspect critical infrastructure, or intelligently sense and avoid humans or objects.
- In the future, survey teams will be able to manage a fleet of autonomous robots inspecting multiple areas around a warehouse or large scale operations. They can identify anomalies and adjust the fleet performance from afar, greatly increasing an individual's awareness of ongoing operations.
- Autonomous robots equipped with EO cameras and LiDAR sensors will be incredibly important for future inspection work. These two sensors are critical for robots to intelligently navigate and map unknown environments while also capturing high fidelity 3D models than can be annotated and classified either through user input or machine learning models.
- Rich 3D models will be incorporated into AR/VR environments to revolutionize how inspection work is done.
But that's not all our experts discussed! You can catch their full conversation in the webinar recording below:
