From "Android System" to Bots Fighting, an Overview of the RoboFi Bots Project Ecosystem

????AI is far more than LLM! Musk confidently stated in the latest ultimate AI plan that 80% of Tesla's value in the future will come from Bots! As the concept stocks of Bots surge one after another, Web3 Bots projects are also accelerating to ignite a new wave of enthusiasm. How will the intelligent ecosystem of Decentralization and on-chain collaboration reshape our future?

Follow Biteye and unlock the rising star in the Web3 Bots track!

1. @openmind_agi Keywords: Operating System, Decentralization Coordination Layer

OpenMind raised $20 million, hoping to enhance the understanding and learning capabilities of Bots through an open-source system, with its main products including:

OM1: An AI-native operating system, touted as the "Android system for Bots", which is hardware-agnostic and open-source. It enables machines to perceive, remember, plan, and control, helping Bots understand the world and take relevant actions based on context. Previously, at a hackathon, participants built an Alzheimer's care Bot using OM1 within 48 hours.

FABRIC: Decentralization coordination layer. Through blockchain, it allows Bots to share data, learn quickly (such as languages), and supports consensus, execution, and settlement. 2. @peaq Keywords: Layer 1, Bots

peaq raised $21 million, focusing on DePIN and the machine economy as a Layer 1.

peaq supports Bots, drones, sensors, and other machines to obtain self-sovereign IDs on-chain, conduct peer-to-peer payments, data storage, and automation operations. It can complete use cases such as robot rental, drone delivery, and autonomous machine collaboration, building a complete "machine economy" that allows machines like Bots to independently earn and interact like AI Agents.

The project is built on the Substrate framework, compatible with Polkadot, and has connected to over 90 blockchains. Currently, there are over 50 DePIN projects on the peaq chain, including Silencio (noise monitoring), MapMetrics (driving for earnings), Farmsent (agricultural supply chain), and Natix (smart driving), among others. The network connects more than 4.5 million devices and machines, providing decentralized network services for more than 20 industries, including energy, mobility, transportation, agriculture, and the 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 through Decentralization, 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 mining equipment ("satellite miners"), collect and upload RTK correction data to the network, earn $GEOD token rewards, and ultimately empower the network to provide high-precision positioning support for applications such as Bots, autonomous vehicles, drones, and the metaverse.

The network currently 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 is incubated by @StoryProtocol, with a seed round financing of $15 million, mainly targeting the shortage of training data in the physical layer for applications such as Bots 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, location, etc.), ultimately providing IP-protected training data to assist in the accelerated innovation of AI models.

The APP is currently online, focusing on voice information, allowing users to upload voice data within the APP to train the AI model, enabling it to handle speech with different accents, dialects, and environments. 5. @PrismaXai Keywords: Remote Control Platform Tele-op, Training Data

PrismaX is led by a16z CSX, with a total financing of $11 million. It aims to help Bots ultimately achieve a high degree of autonomy through human intervention.

Currently, a remote control (tele-op) platform has been launched, allowing users to remotely operate robotic arms via a browser and convert these operation data into high-quality training data to optimize the model. In this process, operators will receive platform token rewards.

The platform is expected to remotely connect to several well-known Bots in the future, including Yushu and UBTECH.

Focus on remote control and visual data for model training in the short term;

In the medium term, robots will be capable of completing actual tasks through remote human command.

In the long term, the ultimate goal is to achieve full or high autonomy for the Bots. 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. Originally starting with AI Agents in games, it is gradually expanding its business into AI Agents behind embodied robots—providing efficient training and deployment solutions for robot AI Agents through the "Sim-to-Real" framework.

Users can directly control the simulation Bots through the browser, generating high-quality behavioral data with each operation to provide training materials for the Bots system's Imitation Learning; at the same time, the AI Agent in the system can continuously optimize based on real interactions through Reinforcement Learning, without the need for complete retraining.

The project is currently in its early stages, primarily focused on the operation of the robotic arm (RME-1). In the later stages, it will expand to the competitive abilities of robots in combat, athletics, and other sports. 7. @AukiNetwork Keywords: DePIN network, physical world data, location data

Auki Network aims to build a decentralized neural network for Bots and smart machines, allowing them to better understand the physical world. The core business is to construct a DePIN network that enables various devices (such as Bots 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 computing resources, motion nodes that include smart devices such as robots providing motion and sensor data, 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 $AUKI token rewards based on their contributions. 8. @RoboStack_io Keywords: abstracting hardware complexity, simplifying hardware-software integration

RoboStack is a cloud-native simulation and integration platform. It not only provides realistic environment modeling and scalable computing infrastructure for the development and deployment of Bots but also builds a standardized communication protocol through the RCP (Robot Context Protocol) to simplify the integration between underlying robotic hardware and software layer AI Agents across different hardware, software, and communication standards.

The native token $ROBOT has been launched on the virtuals platform, where users can participate in $ROBOT staking and vote for their favored Bots projects in SIM lord, with the chance to receive rewards. 9. @frodobots

Keywords: sidewalk Bots

FrodoBots Lab is a Bots laboratory that promotes real-world data collection and embodied intelligence development through gamification. Its core product, Earth Rover, is a remote-controlled sidewalk robot, priced at 249-399 dollars, which can be used for gaming, data collection, and AI research. Currently, FrodoBots has deployed hundreds of Earth Rovers globally and has open-sourced 2000 hours of real-world driving datasets.

FrodoBots has built an ecosystem that integrates entertainment and scientific research through innovative robot hardware, a Decentralization platform, and an AI framework. Here are its main projects:

9.1. @BitRobotNetwork

Keywords: Decentralization subnet architecture

BitRobot Network is a decentralized platform based on Solana developed jointly by FrodoBots Lab and Protocol Labs, which has raised $6 million in funding. The network employs a subnet architecture, where each subnet contributes specific resources such as computing power, robot fleets, datasets (real or synthetic), or AI models, covering various forms from sidewalk robots to humanoid robots. The first subnet ET Fuji is now online, and details will be provided below.

9.2. @ET_Fugi

Keywords: Game, Remote Control Platform Tele-op

ET Fugi (Extra-Terrestrial Fugitives) is a real-world Bots game where players remotely control the Earth Rover to capture "alien" NFTs, while generating valuable sidewalk data for Bots AI training and earning rewards such as FrodoBots Points (FBP).

9.3. @samismoving

Keywords: AI Agent, framework

SAM was initially developed by FrodoBots and @virtuals_io as an AI Agent for remote operation of the Earth Rover Bots. Later, it evolved into the core framework for launching AI Agents on the Robots.Fun (Launchpad) platform, and all subsequent AI Agents will be built on SAM's architecture, paying a 5% revenue share to it.

SAM can collect operational data through Earth Rover to enhance the overall capabilities of the AI Agent. At the same time, it will also live stream part of the adventure process in real-time on X (Twitter), showcasing specific interactions, competitions, or data collection scenarios, combining entertainment and educational value.

9.4. @robotsdotfun

Keyword: AI Agent Launch Platform

Robots.Fun is a launch platform for Bots AI Agents, collecting 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 as the "body" of the AI Agent.

9.5. @UFBots

Keywords: Bots combat, remote control platform Tele-op

Ultimate Fighting Bots is a free robot fighting club where users can remotely control humanoid robots based on Booster T1 to engage in combat. The platform generates real-world data for training embodied AI while providing users with an immersive entertainment experience.

summary

After understanding the above projects, we can clearly see the two core advantages of the Web3 Bots track:

1. The decentralization advantages of blockchain are expected to break the scarcity barriers of Bots models and data.
2. The on-chain confirmation of rights and incentive mechanisms injects new vitality and sustainability into the Bots economy.

What are your thoughts on the future of Web3 Bots? What opportunities or challenges do you think are worth paying attention to? Come to the comments section and share your views with Biteye!