MINER-RRT: A Hierarchical and Fast Trajectory Planning Framework in 3D Cluttered Environments

Trajectory planning for quadrotors in cluttered environments has been challenging in recent years. While many trajectory planning frameworks have been successful, there still exists potential for improvements, particularly in enhancing the speed of generating efficient trajectories. In this paper, w...

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Vydáno v:	IEEE transactions on automation science and engineering Ročník 22; s. 10973 - 10985
Hlavní autoři:	Wang, Pengyu, Tang, Jiawei, Wang Lin, Hin, Zhang, Fan, Wang, Chaoqun, Wang, Jiankun, Shi, Ling, Meng, Max Q.-H.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	IEEE 2025
Témata:	deep neural network Heuristic algorithms Planning Polynomials Quadrotors Resource management Robot trajectory planning sampling-based algorithm Splines (mathematics) Three-dimensional displays Trajectory Trajectory optimization Trajectory planning
ISSN:	1545-5955, 1558-3783
On-line přístup:	Získat plný text
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