It is evident that the majority of robots in the modern world remain in closed fleets. A business puts its robots into service, manages their data, and isolates the entire system. The model is effective when the technology is new, however when robotics expands, the model becomes problematic. Other companies have machines that are not easily compatible, data and task coordinated. What is interesting about fabric is that it attempts to disrupt this trend by making robotic labor an open infrastructure layer, rather than a robotics application.
Fabric is created as a decentralized network of coordination in which robots, AI agents, and humans have the opportunity to communicate with one another using a common economic and governance system. The protocol provides a model in which machines can identify themselves, publish tasks and engage in economic action through blockchain protocols instead of being controlled by their sole proprietors. This is with the view of creating a robot economy in which the machines are seen as autonomous entities capable of working, earning money and coexisting without any centralized authority.
What is more interesting in the design is that Fabric configures the network in terms of robot nodes and coordination pools. The network can add a robot or operator to provide computing power, data or physical work. Tasks can be distributed across an open network in which various participants may compete or collaborate to complete tasks instead of a single company giving jobs to its own machines. This concept gets robotics out of a fleet-ownership approach to something more like an open marketplace of machines.
The economic layer of the system is developed on the basis of the ROBO token that is both a form of governance and utility asset. The token is utilized to stake, pay transaction fees, inter-machine payments and protocol change voting. Before adding tasks or the deployment of machines, the participants are usually required to post tokens as work bonds. That is a stake that can be removed in case a robot does something wrong or fails to complete a task. This introduces a sense of accountability as well as harmonizing the interests of operators, developers, and users of robotic service.
The other critical feature is that Fabric is concerned with verifiable machine activity. When using the traditional system of robotics, it is difficult to determine whether a robot really completed a task since the logs are stored by the operator who deployed the robot. Fabric addresses this through on-chain verification whereby the actions of the robots are logged and validated through decentralized consensus. This makes machine operations transparent, which is needed in case robots are supposed to perform such economic tasks as deliveries, inspection, or data collection.
#ROBO @Fabric Foundation
$ROBO