OpenMind: From Android Robot Operating System to the Starting Point of the Machine Collaborative Economy

marsbitPublicado a 2026-01-28Actualizado a 2026-01-28

Resumen

OpenMind is tackling a long-standing issue in the robotics industry: the inability of robots from different manufacturers to effectively collaborate. While individual robots are becoming increasingly intelligent, they often operate in isolation due to incompatible systems and protocols. OpenMind addresses this by developing two core components: OM1, a hardware-agnostic robot operating system for AI, and FABRIC, a decentralized protocol layer for identity, rules, and coordination. The use of blockchain in FABRIC is not for financial speculation but to provide a transparent and auditable "public rulebook" for trust and accountability in robot interactions. The recent public sale of the ROBO token signals OpenMind's move into designing an incentive mechanism for a future machine collaboration economy. However, the project faces significant challenges, including slow development, difficult real-world implementation, and competition from established systems like ROS. It is a long-term effort focused on solving a fundamental infrastructure problem rather than offering short-term gains. Success depends on widespread adoption by developers and manufacturers, demonstrable cross-brand collaboration, and balancing security, rules, and incentives.

Author: 137Labs

Recently, OpenMind has once again been brought into the spotlight of the crypto market due to the public sale of ROBO.

But if you really think of it as a "Web3 project," you're probably looking in the wrong direction from the start.

What OpenMind is doing is actually very "old-school"—it's solving a problem that has existed in the robotics industry for over a decade:

Robots can hardly cooperate well with each other.

The Problem in the Robotics Industry Isn't "Lack of Intelligence"

Today's robots are already very smart.

They have vision, voice, navigation, and large models—their capabilities are visibly improving.

The real problem is:

These robots operate in silos.

Different manufacturers, different systems, different protocols—

One robot can hardly collaborate with another "outsider" to complete a task.

Even in the same space, they seem like they're from different planets.

This isn't a problem of technical capability but of unified infrastructure.

OpenMind's Approach Is Actually Very Clear

OpenMind isn't trying to build a "smarter robot."

Its goal is to address the underlying layer:

· Enable robots to think and act in the same language

· Establish basic trust and collaboration rules between different manufacturers

To achieve this, they've done two things:

OM1—a hardware-agnostic robot operating system for AI

FABRIC—a decentralized protocol layer for identity, rules, and collaboration

Simply put, they aim to be the Android + network protocol layer for the robot world.

Why "Blockchain" Appears Here

Many people get stuck on this point.

OpenMind uses blockchain not for finance or to hype "decentralization."

It's because traditional systems struggle with certain aspects of robot collaboration:

· Is the robot's identity trustworthy?

· Who made the rules, and have they been altered?

· How is accountability traced when something goes wrong?

FABRIC aims to solve these trust and audit-related issues, not to control real-time robot actions (which is obviously impractical).

You can think of it as:

Blockchain here is more like a "public rule ledger" than a "control center."

Latest Development: ROBO Public Sale Is Actually a Signal

At the end of January, Fabric Foundation launched the public sale of ROBO through Kaito Launchpad.

This is important not because of "how much the token itself is worth,"

but because it signals:

OpenMind is seriously considering—

If a "machine collaboration network" truly exists in the future, how should its incentive mechanism be designed?

Of course, this also brings controversy:

· The technology is still in its early stages

· Large-scale real-world collaboration hasn't been proven

· Markets often price expectations first

These doubts are all valid.

But at the very least, this step means OpenMind is moving from "concept and architecture" to "economic layer design."

This Isn't a Short-Term Story

If you're used to Web3 projects, OpenMind will likely make you uncomfortable:

· Slow pace

· Difficult to implement

· Strong competitors (ROS, big tech, in-house systems)

But on the flip side, if you believe:

Robots in the future will not operate in isolation but will need to collaborate,

then the layer OpenMind is trying to build will eventually be addressed by someone.

It might not win.

It might even have a high chance of failure.

But at least it's solving a real, long-standing problem that no one has truly tackled.

Finally

OpenMind isn't a "buy and it will rise" project,

nor is it a story that can be judged with a few lines of valuation models.

It's more like a test of patience and execution:

· Can OM1 truly be adopted by developers and manufacturers?

· Can real cross-brand collaboration cases emerge?

· Can a balance be found between security, rules, and incentives?

ROBO is just the beginning.

What truly matters is whether robots can, for the first time, collaborate like network nodes.

If that day ever comes,

many of the debates you see today will seem very early.

This article is for personal research and industry observation only and does not constitute investment advice.

Preguntas relacionadas

QWhat is the core problem that OpenMind is trying to solve in the robotics industry?

AThe core problem is that robots from different manufacturers, running on different systems and protocols, cannot effectively collaborate with each other. They operate in isolation, lacking a unified infrastructure for cooperation.

QWhat are the two main components of OpenMind's solution and what are their respective roles?

AThe two main components are OM1, a hardware-agnostic robot operating system for AI, and FABRIC, a decentralized protocol layer for handling identity, rules, and collaboration. Together, they aim to be the 'Android + network protocol layer' for the world of robots.

QWhy does OpenMind utilize blockchain technology according to the article?

AOpenMind uses blockchain not for financial purposes or 'decentralization' hype, but to address fundamental issues of trust and auditability in robot collaboration, such as verifying robot identity, ensuring rule integrity, and enabling accountability and traceability when problems occur. It acts as a 'public rules ledger'.

QWhat is the significance of the recent public sale of the ROBO token?

AThe public sale of the ROBO token is significant not for its potential monetary value, but as a signal that OpenMind is seriously beginning to design the incentive mechanism for a potential future 'machine collaboration network', moving from concept and architecture to economic layer design.

QWhat are the main challenges and criticisms facing the OpenMind project?

AThe main challenges and criticisms include its slow pace, the difficulty of real-world implementation, and strong competition from established systems like ROS and major tech companies. It is a long-term project with a high probability of failure, but it is tackling a real, long-standing problem that has not been adequately solved.

Lecturas Relacionadas

In Conversation with Ray Dalio: We Are Currently in an AI Bubble, with 1% of My Portfolio in Bitcoin

Ray Dalio, founder of Bridgewater Associates, warns in an interview that the current AI boom shows classic bubble characteristics, which could lead to significant economic downturns as seen in past cycles like 1929 or 2000. He explains that speculative enthusiasm, fueled by debt and overvaluation, often precedes a crash when rising rates or taxation force asset sales, causing widespread losses and recession. Dalio also outlines his "Big Cycle" theory, describing an approximate 80-year pattern where widening wealth gaps, massive government deficits, and shifting geopolitical power (like China's rise) create internal conflict and global instability. He emphasizes that we are in a late-cycle, transitional phase where traditional powers like the US and UK face decline. For personal wealth protection, Dalio advises diversification beyond cash into assets like stocks, bonds, real estate, and particularly gold, which he prefers over Bitcoin. While he holds about 1% of his portfolio in Bitcoin as a non-printable hard asset, he views gold as more secure from technological or governmental threats. Regarding AI's impact, Dalio believes it will disproportionately benefit capital owners, worsening inequality by replacing both physical and cognitive labor. He suggests that human intuition and emotional intelligence, combined with AI, will be key for future workers. On taxation, Dalio argues that wealth taxes are impractical and risk triggering asset sell-offs, reducing productive investment. He points to the UK as a cautionary example of debt, low productivity, and political strife. Geopolitically, Dalio foresees a more regionalized world, with the US showing weakness in prolonged conflicts like with Iran, akin to past imperial declines. The ideal outcome, he suggests, is coexisting powerful blocs (e.g., Americas, China-Asia Pacific) without major war.

marsbitHace 1 hora(s)

In Conversation with Ray Dalio: We Are Currently in an AI Bubble, with 1% of My Portfolio in Bitcoin

marsbitHace 1 hora(s)

Daily 7.2 Trillion KRW: Foreign Capital's Record Net Buying on Friday! Wall Street Says Headwinds for Korean Stock Fund Flows Have Subsided

South Korean stock market sees a dramatic shift in fund flows. On July 31, foreign investors made a record net purchase of approximately KRW 7.2 trillion in KOSPI stocks, marking a fundamental reversal from the persistent large-scale net outflows seen in previous months. This contributed to a significant narrowing of foreign net selling in July to KRW 9.8 trillion, down sharply from KRW 48.4 trillion in June and KRW 44.5 trillion in May. Simultaneously, domestic institutional pressure eased. South Korean pension funds and asset managers turned to a net buying position in July, purchasing KRW 1.0 trillion worth of KOSPI shares, contrasting with net sales in May and June. Market volatility is expected to be dampened by new financial regulations. Effective July 31, the Financial Services Commission tightened access for retail investors to single-stock leveraged ETFs by raising the minimum cash deposit requirement. Trading volumes for these products subsequently dropped to about 50% of their monthly average. Citigroup Research maintains its year-end KOSPI target of 10,000 points. The firm cites several supportive factors: the substantial easing of headwinds from capital outflows, a robust fundamental outlook for the semiconductor sector, historically low market valuations, strong economic fundamentals, and the potential for policy support from financial authorities if needed.

marsbitHace 1 hora(s)

Daily 7.2 Trillion KRW: Foreign Capital's Record Net Buying on Friday! Wall Street Says Headwinds for Korean Stock Fund Flows Have Subsided

marsbitHace 1 hora(s)

Thanks to Dice Rolls, Bitcoin Keys Are Stored Offline, But Not Everyone Will Do It

The article discusses using dice rolls to generate secure Bitcoin wallet seeds, providing entropy independent of potentially flawed hardware random number generators. It explains that each fair dice roll offers about 2.585 bits of entropy, with around 50 rolls needed for a standard 12-word seed phrase and 99+ recommended for higher security. This method gained attention after a vulnerability was revealed in some Coldcard hardware wallets, where a faulty firmware RNG (dating back to 2021) compromised generated keys. The analysis notes that while a dice-generated main seed was safe from this specific flaw, other Coldcard functions (like creating paper wallets, backup keys, or passwords) could still be vulnerable if they used the defective RNG. The piece argues that while dice-based entropy is technically robust, the manual process is error-prone, tedious, and unrealistic for most new users, who might make mistakes in recording or inputting rolls. It concludes that while manual entropy generation should remain an option for advanced users, the long-term goal is to develop reliable, user-friendly hardware and software that securely generates randomness without requiring specialized knowledge. Coldcard users are advised to check their firmware version and replace any secondary secrets (like paper wallet keys) created with vulnerable devices, while also considering multi-signature setups with devices from different manufacturers for added security.

cryptonews.ruHace 6 hora(s)

Thanks to Dice Rolls, Bitcoin Keys Are Stored Offline, But Not Everyone Will Do It

cryptonews.ruHace 6 hora(s)

Trading

Spot
活动图片