An Innovative Path Planning Algorithm for Complex Obstacle Environments with Adaptive Obstacle Density Adjustment: AODA-PF-RRT

To address the limitations of low node utilization and inadequate adaptability in complex environments encountered by Rapidly-exploring Random Tree (RRT) algorithms during the expansion phase, this study presents an enhanced path planning algorithm—AODA-PF-RRT* (Adaptive Obstacle Density Adjustment-...

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Veröffentlicht in:	Electronics (Basel) 2024-10, Vol.13 (20), p.4047
Hauptverfasser:	Zhao, Wei, Tan, Ao, Ren, Congcong
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptability Adaptive algorithms Algorithms Asymptotic series Barriers Density Efficiency Expansion Heuristic Optimization Path planning Robots Specific gravity Trees
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