2015
DOI: 10.5772/60715
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Pseudo-Bacterial Potential Field Based Path Planner for Autonomous Mobile Robot Navigation

Abstract: This paper introduces the pseudo-bacterial potential field (PBPF) as a new path planning method for autonomous mobile robot navigation. The PBPF allows us to obtain an optimal and safe path, in contrast to the classical potential field approach which is not suitable for path planning because it lacks a means of obtaining the optimal proportional gains. The PBPF uses the pseudo-bacterial genetic algorithm (PBGA) and a fitness function based on the potential field concepts to construct viable paths in dynamical … Show more

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Cited by 32 publications
(20 citation statements)
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“…Generally speaking, the autonomous navigation process usually performs three main tasks, localization, mapping, and navigation, and every task plays an important role to the others. 8 In earlier times, some navigation methods, such as potential field methods, 9,10 topological navigation, 11,12 and so on, are applied frequently. Through these methods, a robot can achieve self-navigation easily, whereas these methods may have some shortcomings.…”
Section: Introductionmentioning
confidence: 99%
“…Generally speaking, the autonomous navigation process usually performs three main tasks, localization, mapping, and navigation, and every task plays an important role to the others. 8 In earlier times, some navigation methods, such as potential field methods, 9,10 topological navigation, 11,12 and so on, are applied frequently. Through these methods, a robot can achieve self-navigation easily, whereas these methods may have some shortcomings.…”
Section: Introductionmentioning
confidence: 99%
“…This method defines potential functions of goal position and obstacles position and generates the direction of motion. 11 In general, a potential field is a vector field obtained by applying a gradient operator as a function. The reference position of robot is evaluated using the higher value of potential as the goal value, which is also the global minimum of potential.…”
Section: Generating Of Path For Head and Rear Linkmentioning
confidence: 99%
“…Usually, potential fields offer suboptimal solutions to the path planning problem, this because of the local minimum issue, as well as interactions between different potential fields. Trying to avoid local solutions, in [13] is proposed to use the so-called pseudo-bacterial genetic algorithm to guarantee an optimal and safe path for autonomous navigation, once more the goal is to obtain a safe path but knowledge of the obstacles is still required. To generate dynamic safe paths in presence of static and dynamic obstacles, in [5], is considered a heuristic-based method to search the feasible initial path efficiently, then the results are combined with an optimization algorithm for dynamic robot path planning.…”
Section: Introductionmentioning
confidence: 99%