Red GenesisPrice($R3D)
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Red Genesis ($R3D) Price information (USD)
The current real-time price of $R3D is $0.0{5}5440. In the past 24 hours, $R3D has traded between $0.0{5}5437 and $0.0{5}5440, showing strong market activity. The all-time high of $R3D is $0.0077, and the all-time low is $0.0{5}5440.
From a short-term perspective, the price change of $R3D over the past 1 hour is
Red Genesis ($R3D) Market Information
Red Genesis ($R3D) Today's Price
The live price of $R3D today is $0.0{5}5440, with a current market cap of $5,360.537. The 24-hour trading volume is 1.38. The price of $R3D to USD is updated in real time.
Red Genesis ($R3D) Price History (USD)
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What is RED GENESIS ($R3D)?
When is the right time to buy $R3D? Should I buy or sell $R3D now?
Before deciding whether to buy or sell $R3D, you should first consider your own trading strategy. Long-term traders and short-term traders follow different trading approaches. LBank’s $R3D technical analysis can provide you with trading references.
Future price trend of $R3D
What will the value be? You can use our price prediction tool to conduct short-term and long-term price forecasts for $R3D.
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How to buy RED GENESIS ($R3D)
Convert $R3D to local currency
$R3D Resources
To learn more about $R3D, consider exploring other resources such as the whitepaper, official website, and other published information:
Top 5 addresses | Holding amount | Holding ratio | |
|---|---|---|---|
solana | 5Q544f...pge4j1  | 714.362M | 71.51% |
solana | 2LPGHE...PEoJra | 18.682M | 1.87% |
solana | Bmezei...GDESK3 | 17.578M | 1.76% |
solana | 8ncdUW...2WPrUp | 13.577M | 1.36% |
solana | Eu1C1W...fnVgMV | 11.321M | 1.13% |
Other | 223.448M | 22.37% |
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RED GENESIS ($R3D) FAQ
What is Red Genesis ($R3D)?
Red Genesis is a specialized Web3 project positioned at the intersection of Artificial Intelligence, Decentralized Physical Infrastructure (DePIN), and Robotics. It serves as the native utility token for DeBot.Science, a platform dedicated to training autonomous robotics models. The project's initial focus involves using reinforcement learning to train quadrupedal robots for navigating complex simulated environments, such as the surface of Mars.
What is the relationship between Red Genesis and DeBot.Science?
DeBot.Science is the primary research ecosystem and platform that develops high-fidelity simulations and training frameworks for autonomous robots. Red Genesis ($R3D) is the native utility token that powers this ecosystem. While DeBot.Science manages the technical infrastructure, $R3D functions as the branding and economic utility for the platform's various robotics missions.
What are the primary utilities of the $R3D token?
The $R3D token is used to incentivize participants who contribute decentralized computing resources required for intensive robot training. It also supports ongoing robotics research and development. Furthermore, the token provides a mechanism for community governance, allowing holders to influence future mission parameters and the overall evolution of the DeBot.Science platform.
How does the decentralized robot training process function?
The platform utilizes large-scale reinforcement learning, domain randomization, and hybrid learning frameworks. By leveraging distributed computing power provided by the community, the project trains robotic models within high-fidelity simulations. This approach allows for the development of adaptable, autonomous models capable of navigating challenging terrains without the immediate need for expensive physical testing environments.
Which blockchain network does Red Genesis use and what is its contract address?
Red Genesis ($R3D) operates on the Solana blockchain. Users should ensure they are interacting with the correct network to avoid issues. The official contract address for the token is C1YT4fbjCkwqodUVLryYVRs37vmvYnihAJjVDDeupump. It is primarily traded against SOL on decentralized exchanges within the Solana ecosystem and is available on select centralized platforms.
Does the Red Genesis project involve physical robots or just simulations?
While the current phase of the project focuses on training in high-fidelity simulations, such as Martian surface models, the ultimate objective is real-world application. The data and models developed through these decentralized simulations are intended to create highly adaptable, autonomous robots capable of being deployed in physical, challenging terrains in the future.
