DePIN leads the way, AI assists: An overview of the decentralized physical artificial intelligence DePAI map
"The era of ChatGPT in the field of general robotics is about to arrive."Original: Dylan Bane, Messari Analyst
Source: Dylan Bane X account
Compiled by: Yuliya, PANews
In today's rapidly advancing world of artificial intelligence, decentralized physical artificial intelligence (DePAI) is providing a new solution for the control of robotics and physical AI infrastructure. From real-world data collection to intelligent robotic operations based on decentralized physical infrastructure (DePIN) deployment, the development of DePAI is steadily progressing. As NVIDIA CEO Jensen Huang predicted: "The ChatGPT moment for general robotics is coming."
Looking back at the history of technological development, the digital age initially started with hardware and then expanded into the intangible realm of software. The era of artificial intelligence, however, began with software and is now advancing into the final frontier of the physical world.
In a world where autonomous physical AI agents will gradually replace traditional labor with robots, smart cars, drones, and other intelligent devices, the issue of ownership of these smart devices has become a significant social topic. While centralized participants have not yet fully dominated the market, DePAI presents a rare opportunity to establish a Web3-based physical AI system.
Data Collection
Currently, the infrastructure of DePAI is accelerating its improvement, with the data collection aspect being the most active. This aspect not only provides the real-world data needed for training physical AI agents on robots but also enables real-time transmission of data streams required for environmental navigation and task execution.
However, obtaining high-quality real-world data remains a major bottleneck restricting the development of physical AI. Although NVIDIA's Omniverse and Cosmos provide innovative solutions through simulated environments, synthetic data is only part of the entire ecosystem; remote operation and real-world video data are equally indispensable.
Remote Operation
In the field of remote operation, Frodobots is deploying cost-effective delivery robots globally through DePIN. These robots not only capture human decision-making behaviors in real environments during operation, creating high-value datasets, but also effectively address the issue of insufficient capital investment.
Through a token-driven virtuous cycle mechanism, DePIN is accelerating the deployment of data collection devices and robots. For robotic companies looking to improve sales performance while reducing capital expenditures and operational costs, DePIN offers significant advantages over traditional models.
Video Data Applications
In the realm of video data applications, DePAI can fully utilize real-world video data to train physical AI systems, building spatial awareness of the real world. Among them, Hivemapper and NATIX Network are expected to become important data sources due to their unique video databases.
As pointed out by Mason Nystrom, a junior partner at Pantera Capital: "While individual data may not achieve commercial value, data aggregation holds great potential." The Quicksilver platform developed by IoTeX can aggregate data across DePIN while ensuring data verification and privacy protection.
Spatial Intelligence and Computing
In the field of spatial intelligence and computing protocols, the industry is working to achieve decentralized management of spatial coordination and real-world 3D virtual twins through DePIN and DePAI. For example, Auki Network's Posemesh technology enables real-time spatial awareness while ensuring privacy and decentralization.
The application of physical AI agents has already shown results, such as SAM utilizing Frodobots' global robot network for geolocation inference. In the future, with frameworks like Quicksilver, AI agents will be able to better access real-time data provided by DePIN.
For investors looking to enter the field of physical AI, investing in DAOs may be an ideal entry point. For example, XMAQUINA offers its members a diversified portfolio of physical AI assets, covering physical machine assets, DePIN protocols, robotics companies, and intellectual property, supported by a professional in-house R&D team.
