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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.

    4

  2. agentok agentok Public

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

    TypeScript 267 34

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