Path Planning with Adaptive Autonomy Based on an Improved A∗ Algorithm and Dynamic Programming for Mobile Robots

Sustainable path-planning algorithms are essential for executing complex user-defined missions by mobile robots. Addressing various scenarios with a unified criterion during the design phase is often impractical due to the potential for unforeseen situations. Therefore, it is important to incorporat...

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Veröffentlicht in:	Information (Basel) Jg. 16; H. 8; S. 700
Hauptverfasser:	Aatif, Muhammad, Baig, Muhammad Zeeshan, Adeel, Umar, Rashid, Ammar
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.08.2025
Schlagworte:	Algorithms artificial intelligence Autonomy data-driven learning-based Decision making Decomposition Dynamic programming Efficiency Machine learning mobile robots path planning Planning Real time Robots Segments Shortest-path problems Straight lines
ISSN:	2078-2489, 2078-2489
Online-Zugang:	Volltext
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