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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Bibliographic Details
Published in:	Information (Basel) Vol. 16; no. 8; p. 700
Main Authors:	Aatif, Muhammad, Baig, Muhammad Zeeshan, Adeel, Umar, Rashid, Ammar
Format:	Journal Article
Language:	English
Published:	Basel MDPI AG 01.08.2025
Subjects:	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 Access:	Get full text
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