2005
DOI: 10.1016/j.amc.2005.01.035
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Solving some optimal path planning problems using an approach based on measure theory

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Cited by 10 publications
(11 citation statements)
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“…There are many methods for solving ONP (2),(3) and (5) [1][2][3]. For example Borzabadi [3] defines the artificial control function u( t ) as…”
Section: The Solution Of Onp'smentioning
confidence: 99%
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“…There are many methods for solving ONP (2),(3) and (5) [1][2][3]. For example Borzabadi [3] defines the artificial control function u( t ) as…”
Section: The Solution Of Onp'smentioning
confidence: 99%
“…In reference [2] two novel approaches, constrained optimization and semi-infinite constrained optimization, for unmanned under water vehicle are considered. In reference [3] is presented a new approach based on measure theory for finding approximation optimal path planning problem in the present of obstacles. In all of above references the distance between rigid object and obstacles are assumed crisp values.…”
Section: Introductionmentioning
confidence: 99%
“…Finding an optimal path planning is one of the most applicable problems, especially in the robot industry, the military and recently in surgery planning [1]. Latombe [11] has gathered novel methods for path planning in the presence of obstacles.…”
Section: Introductionmentioning
confidence: 99%
“…Wang et al [28] have considered two novel approaches: constrained optimization and semi-infinite constrained optimization for unmanned underwater vehicle path planning. Borzabadi et al [1] have presented a new approach based on measure theory for finding the approximate optimal path in the presence of obstacles. Zamirian et al [29] have proposed an applicable method for solving the shortest path problem.…”
Section: Introductionmentioning
confidence: 99%
“…To find an safe path in a dangerous environment for a mobile robot is an essential requirement for the success of any such mobile robot project. When an optimal path planning problem is formulated as an optimization problem, solving the problem is also of great importance in theoretical and computational investigations [1] The main goal of the robot path planning is to search a safe path for a mobile robot, to make the robot move from the start point to the destination point without collision with obstacles. Also, the path is often required to be optimal in order to reduce energy consumption and communication delay.…”
Section: Introductionmentioning
confidence: 99%