Robots, Cryptocurrency, and AI: How do Virtuals Build Autonomous Intelligent Agent Economies?

Author: Schizoxbt, Castle Labs

Compiled by: Tim, PANews

Robotics, cryptocurrency, artificial intelligence—these are the technological trinity of our generation.

These three most disruptive technologies may be viewed as the final significant technological revolution. For this reason, Virtuals’ move to integrate robotics business lines into its tech stack is particularly noteworthy.

Why do they need to do this?

AI developers have quickly recognized that cryptocurrency and blockchain are the most efficient means for AI agents to conduct transactions and operate on the internet. Meanwhile, robotics developers understand that integrating AI into machines can create truly autonomous mechanical entities capable of executing commands and completing real-world tasks.

These three technologies form a complementary and synergistic effect. While they are not necessarily dependent on each other (not all robots need encryption technology, nor do all intelligent agents require robotic carriers), when combined, they create a complete closed-loop ecosystem.

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Blockchain technology enables large-scale collaboration between intelligent agents and robots, providing underlying support: facilitating payment operations for devices, enabling service settlements between intelligent agents, and even allowing decentralized organizations to coordinate autonomous delivery drone fleets through DAO models.

Artificial intelligence endows robots with autonomous cognition and decision-making capabilities, eliminating the need for human intervention; robots, in turn, provide physical execution units, allowing intelligent agents to interact within the human-occupied real world.

This is the perfect symbiosis between technologies. Virtuals has put this concept into practice by launching a new metric called “Intelligent Agent Gross Domestic Product” (aGDP).

Defined as “the total output of humans, intelligent agents, and machines working collaboratively in digital and physical domains.”

When this technology is combined with robots operating in the physical realm, digital productivity transforms into tangible results—areas that intelligent agents have not previously touched.

Virtuals’ technological architecture relies on three core products: ACP, Butler, and Unicorn.

The following sections will overview each product and demonstrate how robotics technology integrates with these core pillars.

ACP

The Intelligent Agent Collaboration Protocol (ACP), as its name suggests, is the underlying framework for enabling interaction between intelligent agents. Typical use cases include executing trades, data analysis, and market research.

But now, with the integration of robotics technology, ACP can be upgraded to a more advanced form.

Imagine the following scenario:

1. You are a real estate developer needing to complete a construction task.
2. A research affiliate hires a design affiliate to draft plans.
3. The research affiliate then hires a construction robot affiliate to lay the foundation for the property project.
4. The construction affiliate hires a supply chain affiliate to order materials needed for the project.
5. All transactions are settled via ACP.

Although this sounds highly futuristic, it is filled with limitless possibilities. The ACP protocol has many applications, such as scheduling delivery drone fleets to directly deliver goods to consumers’ homes; farm intelligent agents analyzing weather data to autonomously hire robots for planting or irrigation tasks.

For a deeper look into ACP’s underlying architecture, its technical implementation is as follows:

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More detailed information can be viewed here.

Recently, the x 402 protocol has become a hot topic in the market. The following comparison analysis will showcase the advantages of the ACP protocol and explain how the Virtuals platform is positioned advantageously in this wave of intelligent agent capabilities:

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Butler

Butler serves as the user interaction interface for the Virtual platform’s intelligent agent economy, enabling users to interact with autonomous intelligent agents built on the ACP protocol.

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Users simply input their requirements in the chat interface on the X platform, and Butler will recommend suitable intelligent agents (or agent clusters) to complete the task. After collecting the necessary parameters, the system will confirm the task’s cost and deliverables with the user, then automatically assign the execution process.

Once robotics technology is introduced, the entire ecosystem will display a new dimension. Users can issue commands to intelligent agents, which then drive real-world robot fleets to physically execute instructions.

At that point, users will be able to fully control enterprise operations through intelligent agents.

Need to design T-shirts and apparel? There’s a dedicated intelligent agent for that.

Need to package and deliver finished products to humans? There are dedicated robots for delivery.

This will usher in a new era of enterprise management: anyone can submit task requirements handled by intelligent agents and robots, witnessing task completion without manual effort.

Unicorn

Unicorn, as the upgraded project launch platform of the Virtuals ecosystem, aims to help builders and founders raise initial funding. In contrast, the old Genesis model ultimately devolved into a points-scoring game, where users cared more about points than genuinely supporting entrepreneurs.

Virtuals’ official sources reveal that its venture capital arm has long been investing in robotics projects and has observed that the lack of scalable financing mechanisms severely hampers innovation. Now, through the Unicorn model, incentivization behaviors are enabled, allowing robotics and intelligent agent developers to more easily secure funding and realize their project ambitions, such as:

• Agricultural intelligent agent fleet management systems: optimizing crop yields through predictive analytics, automating planting, monitoring, and harvesting processes
• Autonomous delivery drone networks: drones bid for delivery tasks, enabling three-dimensional logistics transportation
• Autonomous construction robot fleets: coordinated scheduling by design and site planning intelligent agents to achieve fully automated building construction

Application cases are endless.

However, current technology still faces key limitations, as robots are not plug-and-play—they still require pre-set programs to perform tasks.

They still need training and learning.

This is where SeeSaw comes into play.

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SeeSaw

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To enable robots to operate efficiently in the real world, large-scale spatial datasets are essential. These datasets cover a broad range—from recognizing different alarm sirens to autonomous navigation on construction sites, and even simple actions like precisely folding shirts.

SeeSaw records human daily activities and target tasks, allowing robots to better perceive their environment. By digitizing these behaviors, they become training data for robots.

Robots inherently struggle to understand the movement laws of objects and humans in three-dimensional physical space, so acquiring comprehensive datasets that cover all action details—no matter how subtle—is crucial.

This is the original motivation behind Virtuals founding SeeSaw. They understand the importance of such data collection.

SeeSaw is an iOS mobile app that crowdsources the collection of hand-object interaction videos. The app gamifies the collection process, allowing users to earn points by completing various task levels.

As long as the reward mechanism aligns with user contributions, the SeeSaw platform can rapidly scale, building a vast visual interaction database for Virtuals, which can then be offered as a service to all robotics R&D teams.

SeeSaw is developed jointly with BitRobot Network to ensure the collected data meets standards and is effective for large-scale robot training.

All of this is just the beginning

Although this marks the end of the article, for the threefold technology, it is only the beginning.

These three tracks have just begun to showcase their capabilities, and thanks to the inherent properties of encryption technology, we are witnessing these developments firsthand.

It is foreseeable that fully automated robotic organizations and companies will not be a distant dream in the near future. For every sci-fi enthusiast inside us, seeing robots walking around and automatically completing tasks is both fascinating and (somewhat) unsettling.

The future we are about to enter may arrive sooner than anyone expects. Virtuals’ involvement in the threefold technology domain promises exciting outcomes.