Immune Evolution Algorithm Based Dynamic Path Planning Approach for the Soccer Robot

2007 ◽  
Author(s):  
Xinying Xu ◽  
Gaowei Yan ◽  
Keming Xie ◽  
T.Y. Lin
Keyword(s):  
Path Planning ◽  
Soccer Robot ◽  
Dynamic Path Planning ◽  
Planning Approach ◽  
Evolution Algorithm ◽  
Dynamic Path

A Dynamic Path Planning Approach for Multirobot Sensor-Based Coverage Considering Energy Constraints

2014 ◽  
Vol 44 (3) ◽  
pp. 305-314 ◽  
Author(s):  
Ahmet Yazici ◽  
Gokhan Kirlik ◽  
Osman Parlaktuna ◽  
Aydin Sipahioglu
Keyword(s):  
Path Planning ◽  
Dynamic Path Planning ◽  
Planning Approach ◽  
Energy Constraints ◽  
Dynamic Path

scholarly journals A New Dynamic Path Planning Approach for Unmanned Aerial Vehicles

Complexity ◽  
2018 ◽  
Vol 2018 ◽  
pp. 1-17 ◽  
Author(s):  
Chenxi Huang ◽  
Yisha Lan ◽  
Yuchen Liu ◽  
Wen Zhou ◽  
Hongbin Pei ◽  
...  
Keyword(s):  
Path Planning ◽  
Unmanned Aerial Vehicles ◽  
Artificial Potential Field ◽  
Aerial Vehicles ◽  
Dynamic Path Planning ◽  
Planning Approach ◽  
Starting Point ◽  
Moving Direction ◽  
Dynamic Path ◽  
The Cost

Dynamic path planning is one of the key procedures for unmanned aerial vehicles (UAV) to successfully fulfill the diversified missions. In this paper, we propose a new algorithm for path planning based on ant colony optimization (ACO) and artificial potential field. In the proposed algorithm, both dynamic threats and static obstacles are taken into account to generate an artificial field representing the environment for collision free path planning. To enhance the path searching efficiency, a coordinate transformation is applied to move the origin of the map to the starting point of the path and in line with the source-destination direction. Cost functions are established to represent the dynamically changing threats, and the cost value is considered as a scalar value of mobile threats which are vectors actually. In the process of searching for an optimal moving direction for UAV, the cost values of path, mobile threats, and total cost are optimized using ant optimization algorithm. The experimental results demonstrated the performance of the new proposed algorithm, which showed that a smoother planning path with the lowest cost for UAVs can be obtained through our algorithm.

scholarly journals A dynamic path planning approach for dense, large, grid-based automated guided vehicle systems

2020 ◽  
Vol 123 ◽  
pp. 105046 ◽  
Author(s):  
K.J.C. Fransen ◽  
J.A.W.M. van Eekelen ◽  
A. Pogromsky ◽  
M.A.A. Boon ◽  
I.J.B.F. Adan
Keyword(s):  
Path Planning ◽  
Automated Guided Vehicle ◽  
Dynamic Path Planning ◽  
Planning Approach ◽  
Vehicle Systems ◽  
Dynamic Path ◽  
Grid Based ◽  
Large Grid

scholarly journals Global Dynamic Path Planning Fusion Algorithm Combining Jump-A* Algorithm and Dynamic Window Approach

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 19632-19638
Author(s):  
Lisang Liu ◽  
Jinxin Yao ◽  
Dongwei He ◽  
Jian Chen ◽  
Jing Huang ◽  
...  
Keyword(s):  
Path Planning ◽  
A Algorithm ◽  
Fusion Algorithm ◽  
Global Dynamic ◽  
Dynamic Path Planning ◽  
Dynamic Path ◽  
Window Approach

Dynamic Path Planning Algorithm Based on Chaos Genetic Vehicle Navigation

2011 ◽  
Vol 142 ◽  
pp. 12-15
Author(s):  
Ping Feng
Keyword(s):  
Path Planning ◽  
Search Algorithm ◽  
Traffic Condition ◽  
Planning Time ◽  
Dynamic Path Planning ◽  
Short Period ◽  
Planning Algorithm ◽  
Dynamic Path ◽  
Path Planning Algorithm ◽  
Chaos Genetic Algorithm

The paper puts forward the dynamic path planning algorithm based on improving chaos genetic algorithm by using genetic algorithms and chaos search algorithm. In the practice of navigation, the algorithm can compute at the best path to meet the needs of the navigation in such a short period of planning time. Furthermore,this algorithm can replan a optimum path of the rest paths after the traffic condition in the sudden.

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