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Updated: Sep 17, 2025

Haptic/Graphic Rehabilitation: Integrating a Robot into a Virtual Environment Library and Applying it to Stroke Therapy
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Real-time human-robot interaction and service provision using hybrid intelligent computing framework.

Mohammed Albekairi1, Meshari D Alanazi1, Turki M Alanazi2

  • 1Department of Electrical Engineering, College of Engineering, Jouf University, Sakakah, Saudi Arabia.

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Summary

This study introduces a Hybrid Intelligent Computing Model (HICM) to enhance robot query processing. HICM improves real-time, personalized service delivery by reducing calculation and failure rates.

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Computer Science

Background:

  • Existing query-processing systems for robots suffer from high computational costs, inefficient service matching, and high failure rates in dynamic environments.
  • Effective human-robot interaction is crucial across various sectors like healthcare, customer service, and industrial automation.

Purpose of the Study:

  • To develop a Hybrid Intelligent Computing Model (HICM) for autonomous robot inquiry processing.
  • To enhance robots' real-time response capabilities with efficient, personalized, and context-specific solutions.

Main Methods:

  • The HICM integrates a decision-support system utilizing self-organized computing approaches.
  • It combines annealing and Tabu Search techniques to evaluate query characteristics and service relevance.
  • Tabu Search is employed to treat query resolution as a non-convergent optimization problem, preventing incompatible query responses.

Main Results:

  • HICM demonstrated significant improvements over existing models (CDS, DGTA, CCS) in performance metrics.
  • Reduced calculation time by 8.67%, service time by 15.09%, and failure rates by 7.87%.
  • Achieved an 11.8% higher success factor, a 14.88% higher matching ratio, and a 6.22% lower failure rate.

Conclusions:

  • The HICM model significantly enhances robotic query processing efficiency and reliability.
  • It enables robots to provide timely, accurate, and context-specific services in real-time human-robot interactions.