Automation

Autonomously detecting pinhole leaks as part of Spot’s routine maintenance rounds has major benefits for plant safety in the Oil and Gas industry.

Advancements in industrial sensing technologies have created new opportunities and value for data capture and analysis. But how do you start and scale an IoT implementation?

Dynamic sensing with Spot makes industrial inspection highly repeatable, economical, and simple—capturing all the data you need to understand the health of your equipment and facility.

Many warehouse operations are still early in the automation adoption curve, looking for solutions to remain productive, profitable, competitive, and relevant.

Predictive maintenance is a data-hungry endeavor, but traditional data collection methods can be prohibitively expensive. Agile mobile robots offer a more efficient and economic solution.

As robots are more commonly deployed, they require sensors like cameras, LiDAR and gas sensors, to see the environment around them.

Reliable asset condition monitoring is key for effective AI-based predictive maintenance. Learn how to but get the right data at the right time.

Spot’s robust, flexible API and advanced mobility make it a powerful platform to unlock the operational data you really need.

As AI becomes more common, consistent continuous data is a necessity for smarter operations. See how automated sensing drives reliability and efficiency.

Using Spot’s API, we integrated a machine learning model to show Spot how to play fetch. Follow the tutorial to teach a robot dog new tricks.

Introducing improved workflows and mobility for consistent and comprehensive data collection