The Growing Intelligence of Autonomous Mobile Robots

 https://www.isa.org/intech-home/2021/february-2021/features/the-growing-intelligence-of-autonomous-mobile-robo

If we analyze system topologies, there are many interesting side effects of extensive networking and data collection paired with #advancedanalytics. In this environment, #cyberphysical systems acquire a wide array of sensory input, which might feel like the equivalent of seeing through solid walls or predicting the future. Some of the #PID controllers are doing this in a localized fashion.

Any #robotic systems operating within the #IOT frameworks can acquire and use data far beyond the reach of sensors installed on the device. An autonomous mobile robot (#AMR) or any other system can obtain data from a global network. This is particularly important for AMRs because of a large work envelope that might involve environments that cannot be perfectly controlled. For example, an #autonomous forklift in a large warehouse might have to adequately react to people or obstacles that the system developer does not predict. Advanced analytics or #AI provide a further extension of #sensor capabilities. #Predictive models can deliver critical data to the machine before that piece of information becomes available from sensor input.

In many organizations, the cost is a critical factor. Increasing the sophistication of data networks and analytics enables us to extend hardware capabilities without modifying them.