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An obstacle avoidance strategy for complex obstacles based on artificial potential field method

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Mobile robot path planning using artificial bee colony and evolutionary programming

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Visual servoing based control methods for nonholonomic mobile robot

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A real-time dynamic path planning method combining artificial potential field method and biased target RRT algorithm

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Path planning for autonomous underwater vehicle based on artificial potential field and velocity synthesis

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Non-trap Artificial Potential Field Based on Virtual Obstacle

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An improved artificial potential field method with a new point of attractive force for a mobile robot

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Trajectory planning for an unmanned ground vehicle group using augmented particle swarm optimization in a dynamic environment

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Bi-RRT path extraction and curve fitting smooth with visual based configuration space mapping

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New Robot Planning Algorithm Based on Improved Artificial Potential Field

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Real-time obstacle avoidance for manipulators and mobile robots

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Comparison of Parallel Genetic Algorithm and Particle Swarm Optimization for Real-Time UAV Path Planning

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Improved Artificial Potential Field Method Applied for AUV Path Planning

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Ant Algorithms for Discrete Optimization

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Obstacle avoidance of mobile robots using modified artificial potential field algorithm

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Local Path Planning of Mobile Robot Based on Artificial Potential Field

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Editorial: Neural & Bio-inspired Processing and Robot Control

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Fuzzy Sets in Dynamic Adaptation of Parameters of a Bee Colony Optimization for Controlling the Trajectory of an Autonomous Mobile Robot

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Cross-country path planning based on improved ant colony algorithm

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Fuzzy systems theory and its applications

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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