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An Evolutionary Navigation Algorithm for Multi-Robot With Priority Order
DOI:10.1109/ACCESS.2023.3274204.png)
摘要
En 中文
This study proposes a novel multi-robot navigation algorithm with priority order called, in short, PONA2.0. This algorithm is based on the generalized Voronoi diagram and contains an adjustable multipath switching mechanism and a collision prevention strategy, such that the arrival order of robots is in line with the priority order as much as possible, and the average trajectories length is as short as possible. The given average trajectories length of all robots (ATLA) and arrival order (AO) are used to be the two performance indices for the comparison between the proposed algorithm and recent existing algorithms NSPP (Huang et al., 2021), PONA (Huang et al., 2022), ROA, and SDA (Ali et al., 2016). The comparison shows that the PONA2.0 can reduce the average AO by more than 56% compared with NSPP and PONA and reduce the average ATLA between 5% and 17% compared with ROA and SDA.
Keyword:
Robots
Collision avoidance
Robot kinematics
Navigation
Heuristic algorithms
Mobile robots
Switches
Path planning
Voronoi diagram
Yen's algorithm
multi-robot path planning
collision-free
path-priority order
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
Does it take older adults longer than younger adults to perceptually segregate a speech target from a background masker?在感知上将语音目标与背景掩蔽器隔离开来是否需要老年人比年轻人更长的时间?
A New Multirobot Path Planning With Priority Order Based on the Generalized Voronoi Diagram
IEEE ACCESS
IF3.6

