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Path planning techniques for mobile robots: Review and prospect

📅 Published: May 3, 2023 👤 Lixing Liu, Xu Wang, Xin Yang et al. 📖 Expert Systems with Applications 📊 614 citations
AI-Generated Summary

Mobile robot path planning refers to the design of the safely collision-free path with shortest distance and least time-consuming from the starting point to the end point by a mobile robot autonomously. In artificial intelligence algorithm, we introduce neural network algorithm and fuzzy logic.

⚡ This is an original paraphrased summary — not copied from the abstract. Full paper available at the source link below.

Key Findings
  • 1 In this paper, a systematic review of mobile robot path planning techniques is presented.
  • 2 Firstly, path planning is classified into global path planning and local path planning according to the mastery of environmental information.
  • 3 In the global path planning, environment modeling methods and path evaluation method are introduced.
Why It Matters

This research advances how AI systems learn, reason, and solve problems — with direct implications for automation and scientific discovery.

This summary is based on publicly available metadata and abstract. For the full research paper, visit the original source:

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Article Details
Source OpenAlex
Category 🤖 Artificial Intelligence
Published May 3, 2023
Journal Expert Systems with Applications
DOI 10.1016/j.eswa.2023.120254
Citations 614
Authors Lixing Liu, Xu Wang, Xin Yang, Hongjie Liu, Jianping Li