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Path-Planning Strategy: Adaptive Ant Colony Optimization Combined with an Enhanced Dynamic Window Approach
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Outgoing claims: the papers this work cites, builds on, or argues with.
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A continuous RRT*-based path planning method for non-holonomic mobile robots using B-spline curves
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Modified adaptive ant colony optimization algorithm and its application for solving path planning of mobile robot
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Improvement of Dynamic Window Approach in Dynamic Obstacle Environment
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Enhanced DWA algorithm for local path planning of mobile robot
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An Improved Ant Colony Algorithm for Path Planning in One Scenic Area With Many Spots
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Intelligent Warehouse Robot Path Planning Based on Improved Ant Colony Algorithm
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An Adaptive Ant Colony Algorithm for Autonomous Vehicles Global Path Planning
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Fast earth mover's distance computation for catadioptric image sequences
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Path Planning of Mobile Robot Based on Improved Multiobjective Genetic Algorithm
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Path planning of mobile robot based on adaptive ant colony algorithm
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An Effective Dynamic Path Planning Approach for Mobile Robots Based on Ant Colony Fusion Dynamic Windows
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Microrobot Path Planning Based on the Multi-Module DWA Method in Crossing Dense Obstacle Scenario
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Improved RRT-Connect Algorithm Based on Triangular Inequality for Robot Path Planning
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Improved Dynamic Window Approach for Unmanned Surface Vehicles’ Local Path Planning Considering the Impact of Environmental Factors
inferredcites →https://doi.org/10.3934/mbe.2021152openalex-snapshot
Path planning of mobile robot based on improved ant colony algorithm for logistics
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Path planning for mobile robots in complex environments based on improved ant colony algorithm
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Bio-Inspired Optimization for Multi-Agent 3D Path Planning
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