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Related Concept Videos

Spindle Assembly02:50

Spindle Assembly

Spindle assembly occurs through three, often coexisting, pathways – the centrosome-mediated pathway, the chromatin-mediated pathway, and the microtubule-mediated pathway – collectively contributing to form a robust spindle apparatus.
In most cells, centrosomes are the primary microtubule nucleation centers. In the centrosome-mediated pathway, the G2-prophase transition triggers centrosome maturation and increased microtubule nucleation. Progressive nucleation results in a microtubule array...
Spindle Assembly02:50

Spindle Assembly

Spindle assembly occurs through three, often coexisting, pathways – the centrosome-mediated pathway, the chromatin-mediated pathway, and the microtubule-mediated pathway – collectively contributing to form a robust spindle apparatus.
In most cells, centrosomes are the primary microtubule nucleation centers. In the centrosome-mediated pathway, the G2-prophase transition triggers centrosome maturation and increased microtubule nucleation. Progressive nucleation results in a microtubule array...

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IntentionAR: An Intention-Driven Camera-Projector System for AR Assembly Guidance.

Xin Cao, Wenbo Shi, Mingyu Ma

    IEEE Transactions on Visualization and Computer Graphics
    |April 1, 2026
    PubMed
    Summary
    This summary is machine-generated.

    This study introduces IntentionAR, an augmented reality (AR) system for assembly guidance. It uses user intention inference and a finite-state machine to provide real-time, intuitive feedback, improving assembly efficiency.

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    Area of Science:

    • Human-Computer Interaction
    • Robotics
    • Computer Vision

    Background:

    • Augmented reality (AR) assembly guidance systems offer potential for user training.
    • Current systems face challenges with user intention understanding, complex interactions, and nonlinear assembly steps.
    • Real-time and intuitive guidance remains a significant hurdle in practical AR assembly applications.

    Purpose of the Study:

    • To develop an intention-driven AR assembly guidance system (IntentionAR) that overcomes limitations of existing approaches.
    • To integrate online user intention inference with a finite-state assembly machine for enhanced guidance.
    • To provide robust and efficient AR interaction for complex assembly tasks.

    Main Methods:

    • Developed an intention module for recognizing user actions and inferring target objects.
    • Implemented a finite-state machine (FSM) to manage assembly step progression.
    • Utilized a camera-projector device for real-time highlighting of parts and feedback on user selections, dynamically switching spatial registration and visualization models.

    Main Results:

    • The IntentionAR system successfully infers user intentions, providing feedback before assembly begins.
    • The system effectively manages nonlinear assembly workflows and complex hand-part interactions.
    • Experimental and user study results demonstrate a more robust AR interaction experience and improved assembly efficiency.

    Conclusions:

    • IntentionAR offers a significant advancement in AR assembly guidance by integrating intention inference and FSM.
    • The system addresses key challenges in real-time guidance, user intention understanding, and handling complex assembly processes.
    • The proposed approach enhances user experience and efficiency in AR-assisted assembly tasks.