scholarly journals Bi-Directional Adaptive A* Algorithm Toward Optimal Path Planning for Large-Scale UAV Under Multi-Constraints

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 85431-85440
Author(s):  
Xueli Wu ◽  
Lei Xu ◽  
Ran Zhen ◽  
Xiaojing Wu
Keyword(s):  
Path Planning ◽  
Large Scale ◽  
Optimal Path ◽  
A Algorithm ◽  
Optimal Path Planning

Multi-Robot Fish Path Planning Based on the Modified A* Algorithm

2014 ◽  
Vol 568-570 ◽  
pp. 1054-1058 ◽  
Author(s):  
Qiang Hong ◽  
Mei Xiao Chen ◽  
Yan Song Deng
Keyword(s):  
Path Planning ◽  
Optimal Path ◽  
Experimental Results ◽  
Robot Path Planning ◽  
A Algorithm ◽  
Optimal Path Planning ◽  
2D Simulation ◽  
Robot Fish ◽  
Robot Path ◽  
Multi Robot

Based on improved A* algorithm, this paper proposes the optimal path planning of robot fish in globally known environment, so as to achieve better coordination between the robot fish by means of improving their path planning. In the known obstacle environment which is rasterized, target nodes are generated via smoothing A* algorithm. The unnecessary connection points are removed then and the path is smoothed at the turning points. That improved algorithm, in combination with distributed scroll algorithms, is applied to multi-robot path planning in an effort to optimize the path with the avoidance of collision. The experimental results on the 2D simulation platform have verified the feasibility of that method.

Path Planning for Ground Simulation Objiect Based on A* Algorithm

2012 ◽  
Vol 229-231 ◽  
pp. 2019-2024 ◽  
Author(s):  
Zhi Qiang Zhao ◽  
Zhi Hua Liu ◽  
Jia Xin Hao
Keyword(s):  
Path Planning ◽  
Large Scale ◽  
Optimal Path ◽  
Planning Method ◽  
Heuristic Function ◽  
A Algorithm

In the process of ground simulation object maneuver simulation in large-scale operation simulation, an efficient path planning method based on A*algorithm is proposed. By means of introducing all kind of geography factors and security factors into heuristic function, the plan reaching method solves the problem of finding an optimal path under acquiring enemy's situation and terrain data. Experiment results show that it has effectively raised path planning speed of A* algorithm and the scheme is practical and feasible.

Immune–wavelet optimization for path planning of large-scale robots

Robotica ◽  
2013 ◽  
Vol 32 (1) ◽  
pp. 77-95 ◽  
Author(s):  
Saeid Asadi ◽  
Vahid Azimirad ◽  
Ali Eslami ◽  
Saeid Karimian Eghbal
Keyword(s):  
Path Planning ◽  
Degrees Of Freedom ◽  
Large Scale ◽  
Optimal Path ◽  
Robotic Systems ◽  
Mobile Manipulators ◽  
Optimal Path Planning ◽  
The Common ◽  
Planar Robot ◽  
Complexity Of Algorithm

SUMMARYIn this paper an optimal path planning method based on a new evolutionary algorithm is presented for higher order robotic systems. It is a combination of immune system and wavelet mutation. By increasing the system's dimensions, the complexity of algorithm grows linearly. The obtained results have been compared with other optimal path producing algorithms, and its excellence in terms of optimality has been proved. Strengths of this method are simplicity in large-scale path planning, being free of most of the common deadlocks in usual method, and ability to obtain more optimized results than other similar methods. The effectiveness of this approach on simulation case studies for a three-link planar robot and 5 degrees of freedom mobile manipulators as well as an experiment for a mobile robot called K-joniour is shown.

scholarly journals Time-optimal Path Planning of Multi-axis CNC Processes Using Variability of Orientation

Procedia CIRP ◽  
2021 ◽  
Vol 96 ◽  
pp. 324-329
Author(s):  
Frederik Wulle ◽  
Max Richter ◽  
Christoph Hinze ◽  
Alexander Verl
Keyword(s):  
Path Planning ◽  
Optimal Path ◽  
Optimal Path Planning ◽  
Time Optimal

scholarly journals A CNN-based scheme for COVID-19 detection with emergency services provisions using an optimal path planning

2021 ◽  
Author(s):  
Ahmed Barnawi ◽  
Prateek Chhikara ◽  
Rajkumar Tekchandani ◽  
Neeraj Kumar ◽  
Mehrez Boulares
Keyword(s):  
Path Planning ◽  
Emergency Services ◽  
Optimal Path ◽  
Optimal Path Planning
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