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@dustland

Dustland

Engineering Embodied AI.

Dustland

Engineering Embodied Intelligence

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🤖 About Dustland

Dustland is an engineering-driven organization focused on transforming cutting-edge Embodied Intelligence research into practical, real-world solutions. We bridge the gap between academic breakthroughs and industrial applications, creating tangible value through robust implementation of human-robot interaction, motion generation, and imitation learning technologies.

🌟 Core Engineering Focus

👥 Human - Robot Interaction: Perception and Expression

  1. Gesture Recognition:
    • High - accuracy recognition in various settings, using perception retargeting for different user actions.
    • Optimized for seamless real - world integration to enhance expression understanding.
  2. Multimodal Interfaces:
    • Accommodate multiple input/output modes for better perception.
    • Scale with application complexity, using expression - based retargeting for feedback.
  3. Communication Frameworks:
    • Ensure reliable information exchange with robust perception models.
    • Withstand environment challenges, enabling clear expression transmission.
  4. Industry - Specific Interaction:
    • Tailor to industry needs, focusing on perception of work - related gestures.
    • Meet safety/workflow standards with proper expression patterns.

📚 Imitation Learning in Motion: Manipulation in the Physical World

  1. Movement Control:
    • Generate precise/stable movements, using motion retargeting for different robots.
    • Consider physical limits for effective manipulation.
  2. Skill Transfer:
    • Rapid skill transfer between scenarios with manipulation - focused retargeting.
    • Enable quick adaptation for physical world tasks.
  3. Behavior Cloning:
    • Reproduce complex behaviors accurately with cloning retargeting.
    • Integrate into applications for physical manipulation tasks.

Transforming Embodied Intelligence from Research to Reality

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  1. awesome-embodied-ai awesome-embodied-ai Public

    Awesome Resources related to Embodied AI.

    2

  2. agentok agentok Public

    AG2 Visualized - Build Agentic Apps with Drag-and-Drop Simplicity.

    TypeScript 238 31

Repositories

Showing 10 of 33 repositories
  • ting.fm Public

    Ting.FM, AI Podcast

    dustland/ting.fm’s past year of commit activity
    TypeScript 1 0 0 0 Updated Dec 25, 2024
  • chatgpt-next-web Public Forked from ChatGPTNextWeb/ChatGPT-Next-Web

    One-Click to deploy well-designed ChatGPT web UI.

    dustland/chatgpt-next-web’s past year of commit activity
    TypeScript 0 MIT 61,332 0 0 Updated Dec 24, 2024
  • talk Public

    IELTS Speaking.

    dustland/talk’s past year of commit activity
    TypeScript 4 MIT 0 0 0 Updated Dec 14, 2024
  • agentok Public

    AG2 Visualized - Build Agentic Apps with Drag-and-Drop Simplicity.

    dustland/agentok’s past year of commit activity
    TypeScript 238 31 46 2 Updated Dec 14, 2024
  • .github Public
    dustland/.github’s past year of commit activity
    0 0 0 0 Updated Nov 12, 2024
  • awesome-embodied-ai Public

    Awesome Resources related to Embodied AI.

    dustland/awesome-embodied-ai’s past year of commit activity
    2 0 0 0 Updated Nov 10, 2024
  • ui Public Forked from shadcn-ui/ui

    Beautifully designed components that you can copy and paste into your apps. Accessible. Customizable. Open Source.

    dustland/ui’s past year of commit activity
    TypeScript 0 MIT 5,067 0 0 Updated Nov 8, 2024
  • lago Public Forked from getlago/lago

    Open Source Metering and Usage Based Billing API ⭐️ Consumption tracking, Subscription management, Pricing iterations, Payment orchestration & Revenue analytics

    dustland/lago’s past year of commit activity
    Shell 0 AGPL-3.0 329 0 0 Updated Nov 8, 2024
  • dustland/dex-retargeting’s past year of commit activity
    Python 0 MIT 34 0 0 Updated Nov 4, 2024
  • wav2lip Public Forked from Rudrabha/Wav2Lip

    This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020. For HD commercial model, please try out Sync Labs

    dustland/wav2lip’s past year of commit activity
    Python 0 2,353 0 0 Updated Oct 30, 2024

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