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

Researchers consider many factors when selecting a robot, but the most important factor is that the robot enables these teams to prioritize the research.

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

As supply chain disruption causes delays and shortages, automated container unloading can help with bottlenecks, while creating safer working conditions.

Companies are turning to AI to advance their digital transformation. Dynamic sensing accelerates that transformation by bringing the sensors to the assets.

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

You want the benefits of predictive maintenance, but your assets do not generate the right data. Agile mobile robots offer a dynamic sensing solution.

The Spot Release 3.0 adds flexible autonomy and repeatable data capture; Spot is the data collection solution for safer and more efficient inspections.

Spot, an agile mobile robot, helps the nuclear power industry perform inspection tasks to improve operational data and reduce dosage for employees.

For Boston Dynamics, robot crashes are all part of the learning process. Every break and failure gives the team an opportunity to build a better robot.

We use parkour to study behavior creation, dynamic locomotion, and connections between perception and control that allow the robot to adapt on the move.

Training Atlas to maneuver its way through complex parkour courses, Boston Dynamics engineers push the humanoid robot to its limits.