Web3 Robotics: 9 Key Blockchain Projects Shaping Hardware

Explore nine Web3 robotics projects that use blockchain for decentralized coordination, on‑chain identities, data sharing, and economies in hardware.

As blockchain technology gradually permeates the physical‑hardware sector, the Web3 robotics ecosystem is entering a fresh wave of innovation. Decentralized network coordination, on‑chain incentives, and an open data layer are freeing robots from traditional closed‑system constraints, allowing them to obtain on‑chain identities, share perception data, and participate in autonomous economies. Below, we organize the nine most representative projects by functional module to help you quickly capture the core movements of this track.

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From the perspective of Bitaigen, we map the Web3 robotics ecosystem, analysing how decentralized identity, on‑chain incentives, and automated tasks drive the realization of machine economies. By breaking down the ecosystem into functional modules, readers can swiftly grasp the industry narrative. Subsequent sections will dive deeper into each project's innovative highlights.

2. @peaq

Keywords: Layer 1, Machine Economy

peaq has closed a $21 million financing round and positions itself as a base layer chain for DePIN (Decentralized Physical Infrastructure Networks) and the machine economy. The network provides self‑sovereign IDs for devices such as robots, drones, and sensors, and supports peer‑to‑peer payments, on‑chain data storage, and automated task execution. With these capabilities, peaq can enable real‑world use cases like robot leasing, drone delivery, and inter‑machine collaboration, constructing a complete “machine economy” where hardware, like AI agents, can generate revenue and interact autonomously.

The project is built on the Substrate framework, is compatible with Polkadot, and has integrated with more than 90 blockchain links. Over 50 DePIN projects are already live on‑chain, covering noise monitoring (Silencio), driver‑earnings (MapMetrics), agricultural supply chains (Farmsent), and smart driving (Natix), among others. Collectively they serve over 4.5 million devices across energy, mobility, transportation, agriculture, environment, and more than 20 industries.

*Note for global users:* Payments for services on peaq can be made in USD via SEPA or SWIFT transfers where supported. U.S. participants should use Binance.US rather than the global Binance platform.

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1. @openmind_agi

Keywords: Operating System, Decentralized Coordination Layer

OpenMind secured $20 million in its latest financing round and is dedicated to enhancing robot perception and learning through an open‑source system. Its core products are:

OM1 – dubbed the “Android OS for robots,” this is a hardware‑agnostic, fully open‑source AI‑native operating system. OM1 equips robots with four fundamental capabilities: perception, memory, planning, and control, enabling them to understand their environment and execute context‑appropriate actions. During a recent hackathon, participants built a prototype Alzheimer’s‑care robot using OM1 in just 48 hours.
FABRIC – a decentralized coordination layer that leverages blockchain to facilitate data sharing among robots, rapid language learning, and functions such as consensus, execution, and settlement.

Token rewards distributed through FABRIC are subject to local tax regulations; participants should consult their jurisdiction’s tax guidance on cryptocurrency earnings.

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3. @GEODNET_

Keywords: Real‑Time Positioning Network

GEODNET raised $15 million to build a globally scalable real‑time kinematic (RTK) positioning network that delivers centimeter‑level GNSS accuracy. The project initially launched on Polygon and later expanded to Solana. Users can purchase and deploy “satellite miner” hardware, which collects and reports RTK calibration data in exchange for $GEOD token rewards. The network now spans 145 countries, with over 19 000 reference stations and a cumulative output of 207 178 GB of RTK data, supporting robots, autonomous vehicles, drones, and metaverse applications that require high‑precision location services.

*Fiat payments for hardware purchases can be made in USD via SEPA or SWIFT where applicable.*

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7. @AukiNetwork

Keywords: DePIN Network, Physical‑World Data, Positioning Data

Auki Network aims to construct a decentralized perception neural network for robots and smart endpoints. Its core is the Posemesh protocol‑based DePIN network, whose nodes include:

Compute nodes that provide processing power,
Robot nodes that upload motion and sensor data,
Reconstruction nodes that generate 3D spatial models, and
Domain‑name nodes that manage these models.

Each node type receives $AUKI tokens proportional to its contribution, enabling on‑chain incentives and coordinated operation.

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4. @psdnai

Keywords: Physical Data Collection

Incubated by StoryProtocol, Poseidon completed a $15 million seed round and focuses on the scarcity of training data for robots and multimodal AI agents at the physical layer. Poseidon builds a decentralized data layer that uses the Story Protocol to collect, organize, and manage real‑world audio‑video, images, location, and other information. The resulting datasets are protected by intellectual‑property safeguards and are offered to AI developers to accelerate model iteration. An app is already live, allowing users to upload voice samples that help the model learn various accents, dialects, and noisy‑environment speech recognition.

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5. @PrismaXai

Keywords: Tele‑op Remote‑Control Platform, Training Data

PrismaX, led by a16z CSX, has raised a total of $11 million. Its mission is to boost robot autonomy through human‑in‑the‑loop interaction. The project has launched a browser‑based remote‑control platform where users can directly manipulate robotic arms; the interaction data is automatically transformed into high‑quality training datasets, and platform tokens reward the operators.

Short‑term focus: remote operation and visual data collection.
Mid‑term goal: human‑machine collaboration enabling robots to accomplish real tasks.
Long‑term vision: achieving high or full autonomy for robots.

Future integrations plan to include popular robot brands such as Utree and UBTECH. Token rewards earned on the platform may be subject to taxation in the participant’s jurisdiction; users should keep records for potential reporting.

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6. @NRNAgents

Keywords: Tele‑op Remote‑Control Platform, Reinforcement Learning, AI Agent

NRN Agents is a decentralized AI‑agent development and training platform running on Arbitrum. Initially targeting game AI, the platform is now expanding toward embodied robot AI agents, offering a Sim‑to‑Real framework that lets robots generate high‑quality behavioral data in simulated environments. Through Imitation Learning and Reinforcement Learning, robots continuously improve. The current focus is on robotic arm (RME‑1) manipulation, with plans to extend to robot combat, athletics, and other competitive skill training.

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8. @RoboStack_io

Keywords: Abstracting Hardware Complexity, Simplifying Soft‑Hardware Integration

RoboStack is a cloud‑native simulation and integration platform that provides photorealistic environment modeling and elastically scalable compute resources. By introducing the Robot Context Protocol (RCP), RoboStack creates a unified protocol layer across disparate hardware, software, and communication standards, dramatically lowering the barrier for connecting low‑level robot hardware with upper‑layer AI agents. Its native token $ROBOT has been issued on the virtuals platform; token holders can stake and vote for favored robot projects within SIM lord, earning corresponding rewards.

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9. @frodobots

Keywords: Sidewalk Robot, Gamified Data Collection

FrodoBots Lab drives real‑world data acquisition and embodied intelligence research through gamification. Its flagship hardware, Earth Rover, is a remotely controllable sidewalk robot priced between $249 – $399. Hundreds of units have been deployed worldwide, and the project has open‑sourced more than 2 000 hours of authentic driving data. The ecosystem includes several sub‑modules:

9.1. @BitRobotNetwork

A Solana‑based decentralized subnet platform that, together with Protocol Labs, secured $6 million in financing. The network adopts a subnet architecture where each subnet contributes specific resources—compute power, robot fleets, datasets, or AI models—covering a spectrum from sidewalk robots to humanoid robots. The first subnet, ET Fuji, is already live.

9.2. @ET_Fugi

ET Fugi (Extra‑Terrestrial Fugitives) is a real‑world robot game. Players remotely control an Earth Rover to capture “alien” NFTs; the sidewalk data generated during gameplay feeds robot AI training and rewards participants with FrodoBots Points (FBP).

9.3. @samismoving

Originally co‑developed by FrodoBots and @virtuals_io, SAM started as an AI agent for remotely operating Earth Rover. It later evolved into the core framework for all AI agents on the Robots.Fun platform, with downstream projects required to pay a 5 % fee share to SAM. SAM improves overall AI capability by ingesting operational data, and it streams live adventure footage on X (Twitter), blending entertainment with education.

9.4. @robotsdotfun

Robots.Fun is an ecosystem focused on launching robot AI agents. Users must own or purchase an Earth Rover as the physical embodiment of the AI agent to participate in daily competitions (e.g., capturing alien NFTs) and contribute authentic data.

9.5. @UFBots

Ultimate Fighting Bots is a free robot combat club where players remotely control Booster T1‑based humanoid robots in fights. The platform simultaneously generates real‑world data for embodied AI training while delivering an immersive entertainment experience.

*All token‑based rewards (e.g., $GEOD, $AUKI, $ROBOT, FBP) may be taxable; participants should consult local tax regulations.*

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Summary

Reviewing the nine projects above, two core values of the Web3 robotics track become evident:

Decentralization: Blockchain technology breaks the monopoly of traditional robot models and data, creating an open, shared resource pool.
On‑Chain Attribution & Incentives: Token economics validate the value of data, compute, and hardware contributions, injecting continual vitality into the robot economy.

This article provides a “one‑stop” understanding of RoboFi and the emerging star projects within the Web3 robotics ecosystem. For deeper analyses of upcoming projects on this track, stay tuned to Bitaigen’s future special reports.