Increasing Productivity, Reducing Costs, and Optimizing Portability with Swarm Autonomy


Traditionally, a robot fleet control system is a coordinated operation method for group robot systems composed of many relatively simple robots. It adopts a centralized model and only uses local communication to connect to robots, such as a factory's AGVs. Unlike common centralized robot systems, swarm

robot technology-enabled AMRs (autonomous mobile robots) sometimes use advanced technology such as 5G and WiFi 6 for reliable peer-to-peer communication to accommodate the diversity of robots. This promotes scalability to accurately predict and design

how to act as a group based on the functions assigned to individual units.



AMRs will ultimately be deployed at

large scale in smart factories to transport over long distances. Controlling AMRs will require flexible and decentralized, robotic fleet management systems to dispatch tasks efficiently with reliable communication technology such as DDS (data distribution service) to ensure smooth operation and performance. A robotic fleet management system adopting

swarm autonomy, such as FARobot’s Swarm Core, can increase productivity

and reduce the total cost of operations.



The DDS is a networking middleware that simplifies complex network programming. It has greatly improved the disadvantages of the traditional client/server architecture by adopting the pub/sub architecture for distributed peer-to-peer communication. Featuring excellent stability and reliability, DDS as a middleware requires only a small installation cost for traditional factories without the need to replace the existing hardware facilities and equipment. Learn More



Figure: A Private 5G+DDS-enabled Swarm Autonomy system can increase productivity and reduce the total cost of operations to optimize profitability.
Figure: A Private 5G+DDS-enabled Swarm Autonomy system can increase productivity and reduce the total cost of operations to optimize profitability.

By adopting 5G-enabled industrial wireless communication as a private 5G network, the

system is capable of supporting the wide range of communication requirements between

AMRs, operators, machines, and sensors with high reliability, low latency, long transmission

distance, multiple application scenarios, and optimal portability for a smart factory.