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Intelligent emergency stop algorithm for a manipulator using a new regression method.

Minkyu Cheon1, Jeisung Lee, Wonju Lee

  • 1The School of Electrical and Electronic Engineering, Yonsei University, Seodaemun-Gu, Seoul 120-749, Korea. 1000minkyu@yonsei.ac.kr

Sensors (Basel, Switzerland)
|September 13, 2012
PubMed
Summary
This summary is machine-generated.

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This study introduces an intelligent emergency stop algorithm for large manipulators to prevent collisions. The system considers motion direction and uses regression to distinguish obstacles, enhancing safety in industrial settings.

Area of Science:

  • Robotics and Automation
  • Artificial Intelligence
  • Safety Engineering

Background:

  • Accidental collisions involving large manipulators pose significant risks, leading to personal injuries and equipment damage.
  • Existing emergency stop systems often lack the sophistication to handle complex scenarios, necessitating advanced solutions.

Purpose of the Study:

  • To develop and evaluate an intelligent emergency stop system for manipulators.
  • To enhance operational safety and efficiency by preventing accidental collisions.
  • To introduce an algorithm that considers manipulator motion and object classification.

Main Methods:

  • Development of an intelligent emergency stop algorithm incorporating manipulator motion direction.
  • Implementation of a novel regression method for distinguishing collision-causing obstacles from manipulator parts.
Keywords:
emergency stop algorithmregression methodrisk and inefficiency

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  • Application and performance assessment of the system on a two-link manipulator.

    • Main Results:

    • The proposed intelligent algorithm demonstrated effective identification of collision risks.
    • The system successfully differentiated between genuine obstacles and manipulator components.
    • Performance evaluation showed the efficacy of the intelligent algorithm compared to existing models.

    Conclusions:

    • The intelligent emergency stop system offers a promising solution for improving manipulator safety.
    • The algorithm's ability to consider motion and classify objects enhances its reliability in preventing collisions.
    • This approach contributes to safer human-robot interaction in industrial environments.