Computing Architecture

Squishy Robotics Computing Architecture

Our distributed computing architecture blends edge computing and data fusion to support data-informed decisions in real-time with the ability to create mesh networks. Cloud computing and machine learning will improve our data analytics over time.

Sensor Fusion

Squishy Robots’ data can be merged with data from installed sensors to improve overall situation awareness

AI/Machine Learning

Improve data analytics and optimal sensor placement with artificial intelligence and machine learning algorithms

Mesh Capability

Sensors can be rapidly deployed to create local communication networks

Drone Multiplier

Communicates persistent ground-level sensor data from multiple sources that complement aerial data from a single drone

Customizable Sensor Platform

Payloads can be customized to include alternate sensors, communication devices or 3rd party hardware

Data in real-time

Data when and where you need it to make informed decisions