What Is Swarm Autonomy and
Why Is It Important?
Why Swarm Autonomy?
The biggest challenge of modern factories is to deliver the right raw material, components, WIPs, or even finished goods at the right time to the right place. A swarm of autonomous mobile robots (AMRs) managed by a swarm robot system (SRS) can increase productivity by reducing the amount of time spent waiting and further reduce the cost of warehouse operations.
What is Swarm Autonomy?
Swarm autonomy, applied to robotics, is an emerging field of AI inspired by the behavioral models of social insects (ants, bees, wasps). A swarm combines the power of many minds into one, allowing the system to be smarter, more insightful, and more creative. This trait is transforming robotics, enabling physical robots to achieve a desired collective behavior based on inter-robot interactions as well as their interaction with the environment.
Swarm Robot System
The ROS 2/DDS based Fleet Management System
Our swarm robot system (SRS) is a multi-robot management system, which consists of many homogeneous/heterogeneous autonomous robots without centralized controllers. When a task given to this system needs more than one single robot to achieve, cooperative behavior will exhibit by an autonomous mechanism, which is through the interactions among robots or with the equipment in an environment.
The swarm robotics system (SRS) performs the complete and decentralized management of the robot fleet, allowing the operator to manage the different mobile robotics systems from several kinds of devices through Data Distribution Service (DDS) communication technology based on ROS 2.
Features
Awareness
Combines data locally sensed by the robots in a swarm into a big global picture, allowing the swarm to make collective decisions such as avoiding obstacles beforehand
Solidarity
Allows a swarm of robots to autonomously classify tasks and to allocating an appropriate robot or more to perform a specific task.
Dynamic reconfiguration
Allows the swarm to replicate/replace the task to any robots to optimize task performance. Any faults caused by deficiencies of individual robots, the swarm can also automatically recover.
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