RICE AI Docs
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English
  • Background
    • Introducing RICE AI
    • Rice Robotics: The Innovators Behind RICE AI
    • The RICE Mission
    • Market Analysis
  • RICE Protocol
    • Niche - Data Scarcity for training AGI for robots
    • RICE AI Innovative Decentralized Solution
    • RICE AI Ecosystem
    • Development Roadmap
  • Decentralization
    • Why Decentralization?
    • Decentralization Aspects
  • Minibot M1
    • Technology of Minibot M1
    • IP Collaboration
  • Technical Deepdive
    • Technical Architecture
    • Privacy and Security Measures
  • Development Partners
  • Get In Touch with RICE AI!
  • Disclaimer
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  • Phase 1: RICE Token (2025 Q1)
  • Phase 2: M1 Minibot (2025 Q2)
  • Phase 3: AI Data Sharing Protocol (2025 Q3)
  • Phase 4: AI Foundry for building foundation models for robots (2025 Q4)
  1. RICE Protocol

Development Roadmap

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Last updated 3 months ago

Phase 1: RICE Token (2025 Q1)

Launching a utility token will be essential for fostering collaboration and innovation.

  • Launching a utility token.

  • Establish a Strong Partnership with a strong web3 brand.

  • Build a strong web3 community through giveaways, social engagement, and KOL marketing.

  • Minibot M1 Prototyping and Beta Test with selected community members.

Phase 2: M1 Minibot (2025 Q2)

A companion robot that rewards users by interaction. Interactive data contribute to the RICE AI protocol as a large data model. The goal of the M1 minibot is to accelerate the adoption of RICE AI data-sharing protocol.

  • Minibot M1 Sale and Mass Production of M1 Minibot.

  • Launch a Staking Program to encourage long-term commitment from the community.

  • AI agent mini-game launch. Users can customize their own AI agent’s behavior and characteristics; this AI agent can later be imported into an M1 minibot, giving your companion a physical body.

  • IP Collaboration with other Web3 brands to launch their own version of the M1 minibot.

Phase 3: AI Data Sharing Protocol (2025 Q3)

The AI Data Sharing Protocol allows AI researchers or engineers to get access to the massive data collected through the millions of integrated robots deployed worldwide. The focus is on an "AI data as an asset" marketplace, providing users with valuable datasets for their robots. RICE AI will be the decentralized version of (), specifically for robot intelligence.

  • Launch RICE Robotics Data Marketplace.

  • Build more tools for data collection into the protocol.

    • Develop an app for Apple Vision Pro users to contribute robotics training data (with a rewards system).

    • ⁠⁠SDK integration to 3rd party robots such as affordable humanoid robots G1 and H1 from Unitree.

  • Prototype and Mass Production of M2 Minibot.

Phase 4: AI Foundry for building foundation models for robots (2025 Q4)

Powered by the decentralized data sharing protocol, our AI foundry disrupts the robotics industry with a decentralized marketplace to build foundation models for AGI robots that are actuated in the physical world.

Imagine buying your robotics parts, assembling your customized robot, and plugging in RICE AI to power its intelligence. Like ChatGPT powering thousands of newly emerging text-based applications today, RICE AI will be the affordable way to power robots in the future. Tapping into the DePIN industry for better infrastructure for robotics AI.

  • Launch RICE AI Foundry used for training foundation models like robotics motion and spatial awareness.

  • Launch RICE Humanoid Robots.

  • Launch GPU sharing feature for AI training.

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