On-line deadlock-free path-planning algorithms in the presence of a dead reckoning error

2002 ◽  
Author(s):  
H. Noborio ◽  
T. Yoshioka ◽  
T. Hamaguchi
Keyword(s):  
Path Planning ◽  
Free Path ◽  
Dead Reckoning ◽  
On Line ◽  
Planning Algorithms

scholarly journals A Performance Review of Collision-Free Path Planning Algorithms

Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 316
Author(s):  
Hyunwoo Shin ◽  
Junjae Chae
Keyword(s):  
Path Planning ◽  
Free Path ◽  
Mobile Agents ◽  
Future Research ◽  
Computing Environment ◽  
Performance Review ◽  
Spatial Environment ◽  
Planning Algorithms ◽  
A Performance

Path planning for mobile agents is one of the areas that has drawn the attention of researchers’, as evidenced in the large number of papers related to the collision-free path planning (CFPP) algorithm. The purpose of this paper is to review the findings of those CFPP papers and the methodologies used to generate possible solutions for CFPP for mobile agents. This survey shows that the previous CFPP papers can be divided based on four characteristics. The performance of each method primarily used to solve CFPP in previous research is evaluated and compared. Several methods are implemented and tested in same computing environment to compare the performance of generating solution in specified spatial environment with different obstacles or size. The strengths and weakness of each methodology for CFPP are shown through this survey. Ideally, this paper will provide reference for new future research.

scholarly journals Survey of Robot 3D Path Planning Algorithms

2016 ◽  
Vol 2016 ◽  
pp. 1-22 ◽  
Author(s):  
Liang Yang ◽  
Juntong Qi ◽  
Dalei Song ◽  
Jizhong Xiao ◽  
Jianda Han ◽  
...  
Keyword(s):  
Path Planning ◽  
Motion Planning ◽  
Free Path ◽  
Optimal Path ◽  
Temporal Constraints ◽  
Three Dimension ◽  
Underwater Robots ◽  
Kinematic Constraints ◽  
Aerial Robots ◽  
Planning Algorithms

Robot 3D (three-dimension) path planning targets for finding an optimal and collision-free path in a 3D workspace while taking into account kinematic constraints (including geometric, physical, and temporal constraints). The purpose of path planning, unlike motion planning which must be taken into consideration of dynamics, is to find a kinematically optimal path with the least time as well as model the environment completely. We discuss the fundamentals of these most successful robot 3D path planning algorithms which have been developed in recent years and concentrate on universally applicable algorithms which can be implemented in aerial robots, ground robots, and underwater robots. This paper classifies all the methods into five categories based on their exploring mechanisms and proposes a category, called multifusion based algorithms. For all these algorithms, they are analyzed from a time efficiency and implementable area perspective. Furthermore a comprehensive applicable analysis for each kind of method is presented after considering their merits and weaknesses.

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