AGILOX Autonomous Mobile Robots Provide Real-Time Solutions Thanks to Artificial Swarm Intelligence

Once the first AGILOX unit learns its environment and workflow details, the system becomes immediately infinitely scalable.

Agilox Swarm Agv
AGILOX

AGILOX introduced intelligent guided vehicles (IGVs) that are completely independent, self-controlled and intelligently designed to handle failover, recovery and deadlock prevention.

Powered by Swarm Intelligence (SI) and bio-inspired computing, these IGVs can provide real-time solutions to impossibly complex optimization problems in the most efficient way possible, often in ways that a human designer could never anticipate. The swarm can also handle unexpected changes in dynamic environments without any human intervention.

AGILOX vehicles automatically exchange information about the environment and the current work order situation with each other via WiFi several times per second. Based on virtual transport costs, which each participant constantly recalculates for all pending orders, it is automatically decided which vehicle fulfills an order and which path that vehicle can take to fulfill this order in the shortest amount of time.

All of this is possible with almost no overhead cost to the end-customer. There are no expensive server systems, no wires added under the floor, no reflector or beacon installations - no hardware of any kind, other than your regular 2.4 or 5 GHz WiFi network and the charger. There is no software to install or maintain, no version numbers to keep up with, and no licenses with ongoing subscription fees.

Once the first AGILOX unit learns its environment and workflow details, the system becomes immediately infinitely scalable. Adding additional vehicles to the swarm to increase throughput is as simple as turning on the power and assigning an IP address. Within minutes, the new vehicle will automatically download all of its configuration information from the swarm and begin working, no additional commissioning or programming required.

 

Latest