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Active interaction strategy generation for human-robot collaboration based on trust.

Yujie Guo1, Pengfei Yi1, Xiaopeng Wei2

  • 1Key Laboratory of Advanced Design and Intelligent Computing (Ministry of Education), School of Software Engineering, Dalian University, Dalian, 116622, China.

Visual Computing for Industry, Biomedicine, and Art
|June 23, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a trust-based strategy for human-robot collaboration (HRC) to boost efficiency. By dynamically optimizing robot actions based on trust, it enhances collaboration speed while ensuring task success.

Keywords:
Human-robot collaborationHuman-robot trustTreeVisual language model

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Area of Science:

  • Robotics
  • Human-Computer Interaction
  • Artificial Intelligence

Background:

  • Human-robot collaboration (HRC) success is often linked to human trust.
  • Existing research prioritizes task success rates over collaboration efficiency.
  • Improving HRC efficiency is crucial for practical applications.

Purpose of the Study:

  • To propose an active interaction strategy generation method for HRC based on trust.
  • To enhance overall collaboration efficiency while maintaining a high success rate.
  • To develop a novel approach for optimizing robot strategies in real-time.

Main Methods:

  • A trust-based optimal robot strategy generation method using tree modeling of HRC processes.
  • A robot performance evaluation method utilizing a visual language model to compute human trust.
  • Real-time, iterative generation of robot strategies based on performance feedback and trust levels.

Main Results:

  • The proposed method significantly improves collaborative efficiency in HRC tasks.
  • A high success rate was maintained throughout the collaborative tasks.
  • Dynamic strategy adjustment based on trust proved effective in optimizing performance.

Conclusions:

  • Trust-based strategy generation is a viable approach to enhance HRC efficiency.
  • Real-time adaptation of robot behavior based on trust is key to optimizing collaboration.
  • This method offers a promising direction for future human-robot interaction research.