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Paper

Trajectory Optimization and Finite-Time Control for Unmanned Helicopters Formation

by Independent / Community 00f5ba784a6ad0f41c5d0966a0f87df9df4f8e90
Free2AITools Nexus Index
65.1
S: Semantic 50

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A: Authority 75
P: Popularity 50
R: Recency 100
Q: Quality 65
Tech Context
Vital Performance

A safe and rapid formation generation is of great importance for the cooperation performance of the multiple unmanned helicopters. The trajectory optimization and control is the key problem in the process of the formation generation. To achieve this goal, a novel safe formation generation strategy is proposed through trajectory optimization and tracking control. First, the rapidly-exploring random tree (RRT) algorithm is applied to obtain the initial guess to satisfy the requirement of rapid ...

Semantic Scholar 8 Citations
Paper Information Summary
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Registry ID 00f5ba784a6ad0f41c5d0966a0f87df9df4f8e90
License ArXiv
Provider semantic_scholar
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BibTeX
@misc{00f5ba784a6ad0f41c5d0966a0f87df9df4f8e90,
  author = {Unknown},
  title = {Trajectory Optimization and Finite-Time Control for Unmanned Helicopters Formation Paper},
  year = {2026},
  howpublished = {\url{https://api.semanticscholar.org/00f5ba784a6ad0f41c5d0966a0f87df9df4f8e90}},
  note = {Accessed via Free2AITools.}
}
APA Style
Unknown. (2026). Trajectory Optimization and Finite-Time Control for Unmanned Helicopters Formation [Paper]. Free2AITools. https://api.semanticscholar.org/00f5ba784a6ad0f41c5d0966a0f87df9df4f8e90

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βš–οΈ Free2AITools Nexus Index V2.0

Semantic (S) 50

Query-time baseline · scored live at search

Authority (A) 75
Popularity (P) 50
Recency (R) 100
Quality (Q) 65

πŸ’¬ Index Insight

FNI V2.0 for Trajectory Optimization and Finite-Time Control for Unmanned Helicopters Formation: Authority (A:75), Popularity (P:50), Recency (R:100), Quality (Q:65). Semantic (S) is a query-time baseline scored live at search.

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πŸ“ Executive Summary

"A safe and rapid formation generation is of great importance for the cooperation performance of the multiple unmanned helicopters. The trajectory optimization and control is the key problem in the process of the formation generation. To achieve this goal, a novel safe formation generation strategy is proposed through trajectory optimization and tracking control. First, the rapidly-exploring random tree (RRT) algorithm is applied to obtain the initial guess to satisfy the requirement of rapid ..."

❝ Cite Node

@article{Unknown2026Trajectory,
  title={Trajectory Optimization and Finite-Time Control for Unmanned Helicopters Formation},
  author={},
  note={Indexed by Free2AITools},
  year={2026}
}

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πŸ“Š Research Signals

πŸ“ˆ8CitationsSemantic Scholar
πŸ›οΈ75AuthorityFNI pillar
⏱️100RecencyFNI pillar
βœ…65QualityFNI pillar
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Unknown
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ArXiv
tags
paper, research, academic

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params billions
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