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September 17, 2025Applied and Computational Engineering

Theoretical Improvements of Control Algorithms in Robot Path Planning: From Traditional Methods to Intelligent Algorithms

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Authors

MHMin HuangXi’an Jiaotong-Liverpool University

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Overview

Comparison highlights intelligent algorithms' adaptability and robustness in dynamic environments, suggesting improved navigation efficiency.

Key Points

  • Intelligent algorithms consistently outperform traditional algorithms in dynamic operational contexts.
  • Adaptive capabilities like real-time learning are the key strengths of intelligent algorithms.
  • Traditional methods such as A* and Dijkstra show limitations in uncertain scenarios.
  • Real-world challenges in algorithm implementation include sensor uncertainty and computational complexity.

Cite This Study

Min Huang (2025) studied this question.

synapsesocial.com/papers/68d45e6231b076d99fa5ee12https://doi.org/10.54254/2755-2721/2025.ld26896
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