Geometrical Optimal Navigation and Path Planning—Bridging Theory, Algorithms, and Applications

Autonomous systems, such as self-driving cars, surgical robots, and space rovers, require efficient and collision-free navigation in dynamic environments. Geometric optimal navigation and path planning have become critical research areas, combining geometry, optimization, and machine learning to add...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 25; H. 22; S. 6874
Hauptverfasser:	Jafarpourdavatgar, Hedieh, Saeedinia, Samaneh Alsadat, Mohaghegh, Mahsa
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 11.11.2025
Schlagworte:	Adaptability Algorithms autonomous systems collision-free navigation Comparative analysis Data mining Decision making dynamic environments Efficiency Electronics in navigation Energy consumption geometric navigation Graph representations Machine learning Mathematical optimization Mathematical programming Methods Navigation optimization algorithms Optimization techniques path planning Planning Robotic surgery Robotics Robotics industry Robots Semantics Iran autonomous systems dynamic environments geometric navigation path planning optimization algorithms collision-free navigation
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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