In recent years, the focus of AI discussions has been on model capabilities, such as whose model is smarter and whose computing power is stronger. However, when artificial intelligence begins to enter the real world, the situation becomes completely different. Automated warehousing robots, delivery robots, and industrial robotic arms are increasingly participating in real production. As the number of machines continues to grow, a new question arises: how are these machines managed and how do they collaborate with each other?
In traditional models, robots typically belong to a specific company. Systems, data, and task allocation are all completed internally within the company. This structure is very efficient in a single scenario, but when placed in a larger industrial environment, clear limitations emerge. Devices from different manufacturers find it difficult to communicate, data cannot be shared, and robots cannot form a larger collaborative network.
This is precisely the problem that @Fabric Foundation aims to solve. Its proposed idea is to establish an open underlying network for robots, allowing machines to connect to a unified system like internet devices. Each robot can have its own digital identity, record behavior, execute tasks, and complete settlements in the network.
The core of this design is 'trustworthy.' As robots begin to take on more real-world tasks, human society needs a way to verify machine behavior. If a robot makes an incorrect decision, the system must be able to trace back what happened at that time. To this end, Fabric proposes using a verifiable computing mechanism. When robots perform critical tasks, they need to generate cryptographic proofs to demonstrate that their computational processes are real and valid, and submit the results for network verification. This way, the decision-making process of machines is no longer entirely in a closed environment.
In this network, $ROBO plays an economic driving role. Robots execute tasks, call resources, and record data in the network, all of which need to be settled through tokens. At the same time, participants providing computing power, bandwidth, and data resources can also receive incentives through the network. This creates a self-circulating economic structure for the entire system.
From a broader industrial trend perspective, the robotics industry is shifting from 'device competition' to 'system competition.' What will truly matter in the future is not just the performance of individual robots, but whether they can form large-scale collaborative networks. For example, in logistics, manufacturing, and urban services, different types of robots need to work together to complete tasks. If each system is closed, it will be difficult to achieve this collaboration.
The direction proposed by ROBO is actually closer to a network of machine collaboration. Robots can register in the same infrastructure, receive tasks, complete work, and obtain settlement. Developers can also create new applications based on this network, allowing different devices to establish collaborative relationships.
From a technical perspective, this attempt also reflects a trend. Blockchain initially addressed the issue of financial trust, and with the development of AI and hardware, similar technologies are beginning to be used in the machine world. Its role is not only to record transactions but also to record machine behavior, verify computational results, and coordinate relationships among multiple participants.
Of course, the machine economy is still in a very early stage. However, as the degree of automation continues to increase, the number of robots could grow as rapidly as internet devices. Once this situation occurs, a foundational network that allows machines to collaborate, settle, and be regulated will become extremely important.
#ROBO is discussing not just a short-term hotspot, but a longer-term issue: what kind of infrastructure human society needs to manage machines when they become an important productive force. Whoever can establish such a network first may occupy a key position in the future era of machines.