Doosan Robotics and the DePIN network peaq announced a partnership on September 17, 2026, deploying the first Doosan A-Series collaborative robot on peaqOS Pro, a blockchain-based operating system that gives industrial machines self-sovereign identities, verifiable performance records, and the ability to earn autonomous income. The machine now operates with an on-chain wallet and can monetize unused computing and data capacity without exposing raw operational footage or sensor data to the network.

This partnership represents a novel intersection of physical artificial intelligence and decentralized infrastructure. Doosan Robotics, one of the world's top-five collaborative robot manufacturers by market share, operates machines across 45 countries in manufacturing, logistics, energy, medical, and food and beverage sectors. The company is part of Doosan Group, a major South Korean industrial conglomerate. peaq is a decentralized physical infrastructure network (DePIN) that enables machines to transact autonomously, with all settlements running on the Solana blockchain.

What Does peaqOS Actually Do for a Robot?

The peaqOS Pro stack provides seven modular functions that transform a traditional industrial robot into an autonomous economic actor. Each function serves a specific purpose in establishing machine identity, verifying authenticity, and enabling autonomous transactions.

• Activate: Establishes a self-sovereign identity and wallet for the machine, allowing it to hold assets and conduct transactions independently.
• Verify: Delivers manufacturer attestation that confirms this is a genuine Doosan unit, building trust in the supply chain.
• Qualify: Converts the robot's operational track record into a machine credit rating, enabling lenders to assess individual robots as collateral.
• Scale: Handles compute and storage payments across the network.
• Stream: Enables peer-to-peer fleet learning without exposing raw data; processing stays local on the Doosan controller.
• Monetize: Lets the robot earn from spare data and compute capacity.
• Tokenize: Converts the machine into a financeable liquid asset.

The privacy model is central to the design. Doosan does not transfer raw sensor data or camera frames to peaq. Instead, verification produces attestations and aggregate indicators only, meaning operators share provable performance without handing over proprietary operational details. The on-chain record for the first deployed Doosan unit is publicly viewable at machines.peaq.xyz.

How Does Machine Credit Scoring Change Robot Financing?

The Qualify function represents the economic foundation of this model. Verifiable utilization and uptime data, generated continuously and logged per machine, allow lenders to assess individual robots as collateral rather than relying on the operator's overall financial position. A Doosan A-Series with a documented record of verified uptime presents a materially different lending proposition than an identical machine with no auditable history.

Under traditional financing, a robot purchase spreads costs across all operating hours, even when the machine sits idle. Under the peaqOS model, unused capacity can generate income, with earnings metered and recorded on-chain per unit. This creates a new asset class: machines with verifiable performance histories become more attractive to lenders and investors.

"A robot that can prove what it did is a different asset," said Martin El-Khouri, Chief Business Officer at peaq.

Martin El-Khouri, Chief Business Officer at peaq

El-Khouri noted that the partnership had already drawn interest from lenders in the network's financing ecosystem. This suggests that financial institutions are beginning to recognize the value of on-chain machine performance data as a basis for credit decisions.

What Hardware and AI Capabilities Does the Doosan A-Series Bring?

The Doosan A-Series covers payloads from five to thirty kilograms from a single control platform, with all six joints fitted with torque sensors as standard. The range is certified to PL e, Category 4 by TÜV SÜD, a major international certification body. The company has moved into physical AI integration across multiple fronts in 2026. In June, Doosan expanded a partnership with Nvidia to integrate Isaac robotics frameworks, Cosmos world models, and Jetson Thor compute into an agentic robot operating system for industrial automation.

The peaq partnership adds a financial identity layer on top of that hardware-AI stack, combining physical capability, AI reasoning, and autonomous economic agency in the same machine. This layering of technologies represents a shift toward robots that can not only perform tasks and learn from experience but also manage their own economic relationships within a blockchain-based ecosystem.

How Are Students Getting Hands-On Experience with This Technology?

The first peaqOS-equipped Doosan unit has been placed with a supervised student cohort at the Technical University of Munich. Teams are building applications against a defined challenge set, with a hackathon scheduled for late October 2026. Training material from that program feeds into Doosan's certified operator and integrator curriculum, ensuring that the next generation of roboticists understands both traditional industrial automation and blockchain-based machine economics.

Doosan plans to bring additional robots online under the peaqOS stack. The announcement arrives as peaq expands its Solana presence; the network's Economics 2.0 update, live since September 7, 2026, ties PEAQ token demand to machine activity across a DePIN ecosystem that peaq reports at more than sixty deployments.

Why Does This Matter for Decentralized AI and Crypto?

This partnership demonstrates a practical application of decentralized compute infrastructure beyond software-only AI systems. Rather than centralizing robot data and decision-making on cloud servers, peaqOS allows machines to maintain local control while still participating in a verifiable, on-chain economic network. The privacy-preserving design, which keeps raw operational data local while sharing only attestations and aggregate metrics, addresses a key concern in decentralized AI: how to build trust without sacrificing proprietary information.

The machine credit rating model also introduces a new use case for blockchain technology in industrial finance. By creating an auditable, on-chain record of individual machine performance, peaqOS enables a form of asset-level lending that was previously impossible. This could reshape how industrial equipment is financed, particularly for small and medium-sized manufacturers who lack the balance sheet strength of large corporations.