Original Author: Biteye Core Contributor Anci
Original Editor: Biteye Core Contributor Denise
AI is much more than LLM! In his latest ultimate AI plan, Musk boldly claims that 80% of Tesla's future value will come from robots! As robot concept stocks surge one after another, Web 3 robot projects are also accelerating to ignite a new wave of enthusiasm. How will a decentralized, on-chain collaborative smart ecosystem reshape our future?
Follow Biteye to unlock the rising stars in the Web 3 robot track!
1. @openmind_agi
Keywords: Operating System, Decentralized Coordination Layer
OpenMind raised $20 million, aiming to enhance robots' understanding and learning capabilities through an open-source system. Its main products include:
OM 1: An AI-native operating system, touted as the "Android system for robots," hardware-agnostic and open-source. It empowers machines with perception, memory, planning, and control capabilities, helping robots understand the world and take relevant actions based on context. Previously, participants at a hackathon built an Alzheimer's care robot using OM 1 in just 48 hours.
FABRIC: A decentralized coordination layer. It allows robots to share data, learn quickly (such as language) through blockchain, and supports consensus, execution, and settlement.
2. @peaq
Keywords: Layer 1, Machine Economy
peaq raised $21 million and is a Layer 1 focused on DePIN and the machine economy.
peaq supports machines such as robots, drones, and sensors to obtain self-sovereign IDs on the blockchain, enabling peer-to-peer payments, data storage, and automated operations. It can facilitate use cases like robot rentals, drone deliveries, and autonomous machine collaboration, building a complete "machine economy" where devices like robots can independently earn and interact like AI Agents.
The project is built on the Substrate framework, compatible with Polkadot, and has connected over 90 blockchains. Currently, there are more than 50 DePIN projects on the peaq chain, including Silencio (noise monitoring), MapMetrics (driving for profit), Farmsent (agricultural supply chain), and Natix (smart driving). The network connects over 4.5 million devices and machines, providing decentralized network services for more than 20 industries, including energy, mobility, transportation, agriculture, and environment.
3. @GEODNET_
Keywords: Real-time Positioning Network
GEODNET raised $15 million, focusing on positioning services—building the world's largest real-time dynamic (RTK) positioning network in a decentralized manner, providing centimeter-level accuracy global navigation satellite system (GNSS) services.
The project was initially built on Polygon and has now expanded to Solana.
The network allows anyone to purchase and install GEODNET's hardware miner devices ("satellite miners"), collect and upload RTK correction data to the network, earn asset rewards, and ultimately empower the network to provide high-precision positioning support for applications such as robots, autonomous vehicles, drones, and the metaverse.
Currently, the network covers 145 countries, with over 19,000 sites, and has delivered over 207,178 GB of RTK data.
4. @psdnai
Keywords: Physical Data Collection
Poseidon, incubated by @StoryProtocol, raised $15 million in seed funding, primarily addressing the shortage of training data in physical aspects for applications like robots and multimodal AI Agents.
Poseidon has built a decentralized data layer based on Story to collect, organize, and manage real-world data (such as video, audio, images, positioning, etc.), ultimately providing IP-protected training data to accelerate innovation in AI models.
The app is now online, starting with sound information, allowing users to upload sound data within the app to train AI models, enabling them to handle speech in different accents, dialects, and environments.
5. @PrismaXai
Keywords: Remote Control Platform Tele-op, Training Data
PrismaX, led by a16z CSX, has raised a total of $11 million. It aims to help robots achieve a high degree of autonomy through human intervention.
Currently, it has launched a remote control (tele-op) platform that allows users to remotely operate robotic arms via a browser, converting these operation data into high-quality training data to optimize models. During this process, operators will receive platform token rewards.
The platform is expected to remotely connect with well-known robots like Yushu and UBTECH in the future.
In the short term, it focuses on remote control and visual data for model training;
In the medium term, it will enable robots to complete real tasks through remote human command;
In the long term, it aims to achieve complete or high autonomy for robots.
6. @NRNAgents
Keywords: Remote Control Platform Tele-op, Reinforcement Learning, AI Agent
NRN Agents is a decentralized AI Agent development and training platform running on Arbitrum. Initially starting with AI Agents in games, it is gradually expanding its business to AI Agents behind embodied robots—providing efficient training and deployment solutions for robot AI Agents through a "Sim-to-Real" framework.
Users can directly control simulated robots via a browser, generating high-quality behavior data with each operation, providing imitation learning training materials for robot systems; simultaneously, AI Agents in the system can continuously optimize through reinforcement learning based on real interactions without needing complete retraining.
The project is currently in its early stages, primarily focusing on the operation of robotic arms (RME-1). In the future, it will expand to competitive sports capabilities like fighting and athletics for robots.
7. @AukiNetwork
Keywords: DePIN Network, Physical World Data, Positioning Data
Auki Network aims to build a decentralized neural network for robots and smart machines, enhancing their understanding of the physical world. Its core business is to create a DePIN network that allows various devices (such as robots and smart glasses) to share location and perception data in real-time, forming a collaborative spatial understanding.
The network is based on the Posemesh protocol, consisting of computing nodes that provide computational resources, motion nodes that provide motion and sensor data from robots and other smart devices, reconstruction nodes that generate 3D maps or spatial models using the first two, and domain nodes that manage these 3D spaces. These nodes will receive asset rewards based on their contributions.
8. @RoboStack_io
Keywords: Abstracting Hardware Complexity, Simplifying Software-Hardware Integration
RoboStack is a cloud-native simulation and integration platform. It provides realistic environment modeling and scalable computational infrastructure for robot development and deployment, and builds a standardized communication protocol through the RCP (Robot Context Protocol) to simplify the integration of underlying robot hardware with software-layer AI Agents across different hardware, software, and communication standards.
ROBOT Coin has been launched on the virtuals platform, allowing users to participate in staking and vote for their favored robot projects in SIM lord, with opportunities to earn rewards.
9. @frodobots
Keywords: Sidewalk Robot
FrodoBots Lab is a robotics lab that promotes real-world data collection and embodied intelligence development through gamification. Its core product, Earth Rover, is a remotely controlled sidewalk robot (a robot that walks on sidewalks), priced between $249 and $399, which can be used for gaming, data collection, and AI research. Currently, FrodoBots has deployed hundreds of Earth Rovers globally and has open-sourced a 2000-hour real-world driving dataset.
FrodoBots has built an ecosystem that integrates entertainment and research through innovative robotic hardware, decentralized platforms, and AI frameworks. Here are its main projects:
10. @BitRobotNetwork
Keywords: Decentralized Subnet Architecture
BitRobot Network is a decentralized platform based on Solana, co-developed by FrodoBots Lab and Protocol Labs, which raised $6 million. The network adopts a subnet architecture, where each subnet contributes specific resources, such as computational power, robot fleets, datasets (real or synthetic), or AI models, covering various forms from sidewalk robots to humanoid robots. The first subnet, ET Fuji, has gone live, which will be detailed below.
11. @ET_Fugi
Keywords: Gaming, Remote Control Platform Tele-op
ET Fugi (Extra-Terrestrial Fugitives) is a real-world robot game where players use remote control to capture "alien" NFTs with Earth Rover while generating valuable sidewalk data for robot AI training and earning rewards like FrodoBots Points (FBP).
12. @samismoving
Keywords: AI Agent, Framework
SAM can collect operational data through Earth Rover to enhance the overall capabilities of AI Agents. Additionally, it will live-stream parts of its adventures in real-time on X (Twitter), showcasing specific interactions, competitions, or data collection scenarios, combining entertainment and educational value.
SAM was initially co-developed by FrodoBots and @virtuals_io as an AI Agent for remotely operating the Earth Rover robot. It later evolved into the core framework for launching AI Agents on the Robots.Fun (Launchpad) platform, with all subsequent AI Agents built on SAM's architecture and paying a 5% revenue share to it.
13. @robotsdotfun
Keywords: AI Agent Launch Platform
Robots.Fun is a launch platform for robotic AI Agents that collects robot data through daily competitions (such as capturing alien NFTs) to enhance the capabilities of AI Agents. To create an AI Agent on Robots.Fun, one must own or purchase an Earth Rover robot, which serves as the "body" for the AI Agent.
14. @UFBots
Keywords: Robot Fighting, Remote Control Platform Tele-op
Ultimate Fighting Bots is a free robot fighting club where users can remotely control humanoid robots based on Booster T 1 to engage in combat. The platform generates real-world data for training embodied AI while providing users with an immersive entertainment experience.
15. Conclusion
After understanding the above projects, we can clearly see two core advantages of the Web 3 robot track:
The decentralized advantage of blockchain is expected to break the scarcity barriers of robot models and data.
The on-chain rights confirmation and incentive mechanisms inject new vitality and sustainability into the robot economy.
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