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A Soar-Based Space Exploration Algorithm for Mobile Robots.

Fei Luo1, Qin Zhou1, Joel Fuentes2

  • 1School of Information Science and Engineering, East China University of Science and Technology, Shanghai 200237, China.

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|March 25, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a novel cognitive architecture model for mobile robot space exploration. New heuristic algorithms (HAs) significantly enhance exploration speed in dynamic environments, improving efficiency.

Keywords:
Soarcognitive computingheuristic algorithmsreinforcement learningspace exploration

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Area of Science:

  • Robotics
  • Artificial Intelligence
  • Cognitive Science

Background:

  • Mobile robot space exploration is crucial but challenged by dynamic environments.
  • Existing methods like frontier exploration, heuristic algorithms, and deep reinforcement learning face limitations in real-time performance.
  • The cognitive architecture of Soar offers a potential framework for advanced decision-making in robots.

Purpose of the Study:

  • To model mobile robot space exploration using the Soar cognitive architecture.
  • To develop and evaluate novel heuristic algorithms (HAs) for faster space exploration.
  • To enhance the speed and efficiency of mobile robots in dynamic environments.

Main Methods:

  • Modeling the space exploration problem within the Soar cognitive architecture.
  • Proposing three new heuristic algorithms (HAs) based on the Soar model.
  • Conducting experimental validation in the Easter environment.

Main Results:

  • The proposed heuristic algorithms (HAs) demonstrated a significant improvement in exploration speed.
  • The Easter robot's exploration speed was enhanced by at least 2.04 times compared to the original algorithm.
  • The effectiveness of the HAs in accelerating robot space exploration was verified.

Conclusions:

  • The Soar cognitive architecture provides a robust model for mobile robot space exploration.
  • The developed heuristic algorithms (HAs) effectively increase exploration speed in dynamic environments.
  • This strategy offers a promising solution for time-critical space exploration tasks for mobile robots.