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MINER-RRT*: A Hierarchical and Fast Trajectory Planning Framework in 3D Cluttered Environments
v1v2 (latest)

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

Pengyu Wang
Jiawei Tang
Hin Wang Lin
Fan Zhang
Chaoqun Wang
Jiankun Wang
Ling Shi
Max Meng
ArXiv (abs)PDFHTML

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

3 / 3 papers shown
Title
Multi-agent Embodied AI: Advances and Future Directions
Multi-agent Embodied AI: Advances and Future Directions
Zhaohan Feng
Ruiqi Xue
Lei Yuan
Yang Yu
Ning Ding
M. Liu
Bingzhao Gao
Jian Sun
Xinhu Zheng
Gang Wang
AI4CE
157
4
0
08 May 2025
DYNUS: Uncertainty-aware Trajectory Planner in Dynamic Unknown Environments
DYNUS: Uncertainty-aware Trajectory Planner in Dynamic Unknown Environments
Kota Kondo
Mason B. Peterson
Nicholas Rober
Juan Rached Viso
Lucas Jia
Jialin Chen
Harvey Merton
Jonathan P. How
100
0
0
23 Apr 2025
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data
MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data
Jianping Zhou
Bin Lu
Zhanyu Liu
Siyu Pan
Xuejun Feng
Hua Wei
Guanjie Zheng
Xinbing Wang
Chenghu Zhou
83
2
0
05 Jun 2024

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