Robust optimal motion planning approach to cooperative grasping and transporting using multiple UAVs based on SDRE

2016 ◽  
Vol 39 (9) ◽  
pp. 1391-1408 ◽  
Author(s):  
Raziyeh Babaie ◽  
Amir Farhad Ehyaie
Keyword(s):  
Motion Planning ◽  
Optimal Motion ◽  
Multiple Uavs ◽  
Planning Approach ◽  
Optimal Motion Planning

Optimal motion planning for localization of avalanche victims by multiple UAVs

2021 ◽  
pp. 1-1
Author(s):  
Camilla Tabasso ◽  
Nicola Mimmo ◽  
Venanzio Cichella ◽  
Lorenzo Marconi
Keyword(s):  
Motion Planning ◽  
Optimal Motion ◽  
Multiple Uavs ◽  
Optimal Motion Planning

Optimal Motion Planning Approach for Mobile Robot Navigation Problem

2015 ◽  
Vol 799-800 ◽  
pp. 1078-1082
Author(s):  
Bashra Kadhim Oleiwi ◽  
Hubert Roth ◽  
Bahaa I. Kazem
Keyword(s):  
Motion Planning ◽  
Mobile Robots ◽  
Spline Interpolation ◽  
Optimal Solution ◽  
Mobile Robot Navigation ◽  
Optimal Motion ◽  
Navigation Problem ◽  
Modified Genetic Algorithm ◽  
Planning Approach ◽  
Optimal Motion Planning

In this study, modified genetic algorithm (MGA) and A* search method (A*) is proposed for optimal motion planning of mobile robots. MGA utilizes the classical search and modified A* to establish a sub-optimal collision-free path as initial solution in simple and complex static environment. The enhancements for the proposed approach are presented in initialization stage and enhanced operators. Five objective functions are used to minimize traveling length, time, smoothness, security and trajectory and to reduce the energy consumption for mobile robots by using Cubic Spline interpolation curve fitting for optimal planned path. The purpose of this study is to evaluate the proposed approach performance by taking into consideration the effect of changing the number of iteration (it) and the size of population (pop) on its performance index. The simulation results show the effectiveness of proposed approach in governing the robot’s movements successfully from start to goal point after avoiding all obstacles its way in all tested environment. In addition, the results indicate that the proposed approach can find the optimal solution efficiently in a single run. This approach has been carried out by GUI using a popular engineering programming language, MATLAB.

Optimal motion planning and stopping test for 3-D object reconstruction

2018 ◽  
Vol 12 (1) ◽  
pp. 103-123 ◽  
Author(s):  
Heikel Yervilla-Herrera ◽  
J. Irving Vasquez-Gomez ◽  
Rafael Murrieta-Cid ◽  
Israel Becerra ◽  
L. Enrique Sucar
Keyword(s):  
Motion Planning ◽  
Object Reconstruction ◽  
Optimal Motion ◽  
Optimal Motion Planning
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