해양로봇의 회전 반경을 고려한 경로 계획 알고리즘Any-angle Path Planning Algorithm considering Angular Constraint for Marine Robot
- Other Titles
- Any-angle Path Planning Algorithm considering Angular Constraint for Marine Robot
- Authors
- 김한근; 명현; 최현택
- Issue Date
- 1-4월-2012
- Publisher
- 제어로봇시스템공학회
- Keywords
- Theat*; Vehicle guidance; 3-D Path Planning
- Citation
- 제어 로봇 시스템 공학회 논문지, v.18, no.4, pp 365 - 370
- Pages
- 6
- Journal Title
- 제어 로봇 시스템 공학회 논문지
- Volume
- 18
- Number
- 4
- Start Page
- 365
- End Page
- 370
- URI
- https://www.kriso.re.kr/sciwatch/handle/2021.sw.kriso/7936
- Abstract
- Most path planning algorithms for a marine robot in the ocean environment have been developed
without considering the robot’s heading angle. As a result, the robot has a difficulty in
following the path correctly. In this paper, we propose a limit-cycle circle set that applies to
the Theta* algorithm. The minimum turning radius of a marine robot is calculated using a limit-
cycle circle set, and circles of this radius is used to generate a configuration space of an
occupancy grid map. After applying Theta* to this configuration space, the limit-cycle circle set
is also applied to the start and end nodes to find the appropriate path with specified heading
angles. The benefit of this algorithm is its fast computation time compared to other 3-D (x, y,
theta) path planning algorithms, along with the fact that it can be applied to the 3-D kinematic
state of the robot. We simulate the proposed algorithm and compare it with 3-D A* and 3-D A* with
post smoothing algorithms.ropose a limit-cycle circle set that applies to
the Theta* algorithm. The minimum turning radius of a marine robot is calculated using a limit-
cycle circle set, and circles of this radius is used to generate a configuration space of an
occupancy grid map. After applying Theta* to this configuration space, the limit-cycle circle set
is also applied to the start and end nodes to find the appropriate path with specified heading
angles. The benefit of this algorithm is its fast computation time compared to other 3-D (x, y,
theta) path planning algorithms, along with the fact that it can be applied to the 3-D kinematic
state of the robot. We simulate the proposed algorithm and compare it with 3-D A* and 3-D A* with
post smoothing algorithms.
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