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Path planning algorithm for unmanned surface vehicle formations in a practical maritime environment
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/s00773-010-0089-7openalex-snapshot
Collision risk assessment for ships
inferredcites →https://doi.org/10.1007/s11768-008-6222-zopenalex-snapshot
Potential-based obstacle avoidance in formation control
inferredcites →https://doi.org/10.1016/j.actaastro.2010.11.014openalex-snapshot
Distributed attitude synchronization of formation flying via consensus-based virtual structure
inferredcites →https://doi.org/10.1016/j.asoc.2013.07.030openalex-snapshot
Control of leader–follower formation and path planning of mobile robots using Asexual Reproduction Optimization (ARO)
inferredcites →https://doi.org/10.1016/j.automatica.2011.01.065openalex-snapshot
Visibility maintenance via controlled invariance for leader–follower vehicle formations
inferredcites →https://doi.org/10.1016/j.engappai.2004.08.016openalex-snapshot
Coevolving and cooperating path planner for multiple unmanned air vehicles
inferredcites →https://doi.org/10.1016/j.eswa.2011.09.090openalex-snapshot
Multi-robot path planning using co-evolutionary genetic programming
inferredcites →https://doi.org/10.1016/j.mechatronics.2011.06.006openalex-snapshot
Nonlinear coordination control for a group of mobile robots using a virtual structure
inferredcites →https://doi.org/10.1016/j.mechatronics.2011.09.012openalex-snapshot
COLREGs-based collision avoidance strategies for unmanned surface vehicles
inferredcites →https://doi.org/10.1016/j.neucom.2013.04.020openalex-snapshot
An improved genetic algorithm with co-evolutionary strategy for global path planning of multiple mobile robots
inferredcites →https://doi.org/10.1016/j.oceaneng.2010.07.006openalex-snapshot
Leader–follower formation control of underactuated autonomous underwater vehicles
inferredcites →https://doi.org/10.1016/j.oceaneng.2011.10.008openalex-snapshot
Motion planning for multi-HUG formation in an environment with obstacles
inferredcites →https://doi.org/10.1016/j.oceaneng.2011.10.011openalex-snapshot
Automatic simulation of ship navigation
inferredcites →https://doi.org/10.1016/j.oceaneng.2012.09.003openalex-snapshot
Cooperative path planning algorithm for marine surface vessels
inferredcites →https://doi.org/10.1016/j.oceaneng.2014.03.034openalex-snapshot
Angular rate-constrained path planning algorithm for unmanned surface vehicles
inferredcites →https://doi.org/10.1016/j.robot.2003.11.004openalex-snapshot
Motion planning for formations of mobile robots
inferredcites →https://doi.org/10.1016/j.robot.2009.10.007openalex-snapshot
Formation path following control of unicycle-type mobile robots
inferredcites →https://doi.org/10.1016/j.robot.2011.05.011openalex-snapshot
Robot formation motion planning using Fast Marching
inferredcites →https://doi.org/10.1016/j.robot.2012.07.009openalex-snapshot
GPU based generation of state transition models using simulations for unmanned surface vehicle trajectory planning
inferredcites →https://doi.org/10.1016/j.robot.2012.10.009openalex-snapshot
Planning robot formations with fast marching square including uncertainty conditions
inferredcites →https://doi.org/10.1016/j.robot.2013.05.004openalex-snapshot
Leader–follower formation control of nonholonomic mobile robots based on a bioinspired neurodynamic based approach
inferredcites →https://doi.org/10.1016/j.simpat.2008.08.005openalex-snapshot
Modelling of UAV formation flight using 3D potential field
inferredcites →https://doi.org/10.1016/s1672-6529(08)60179-1openalex-snapshot
Optimal Formation Reconfiguration Control of Multiple UCAVs Using Improved Particle Swarm Optimization
inferredcites →https://doi.org/10.1017/s0373463308005134openalex-snapshot
Review of Collision Avoidance and Path Planning Methods for Ships in Close Range Encounters
inferredcites →https://doi.org/10.1023/a:1020564024509openalex-snapshot
Dynamic Motion Planning for Mobile Robots Using Potential Field Method
inferredcites →https://doi.org/10.1109/70.736776openalex-snapshot
Behavior-based formation control for multirobot teams
inferredcites →https://doi.org/10.1109/cdc.2004.1428839openalex-snapshot
Collision-free UAV formation flight using decentralized optimization and invariant sets
inferredcites →https://doi.org/10.1109/iat.2006.94openalex-snapshot
Multi-robot Path Planning Based on Cooperative Co-evolution and Adaptive CGA
inferredcites →https://doi.org/10.1109/ivs.2009.5164376openalex-snapshot
Dynamic multi-UAVs formation reconfiguration based on hybrid diversity-PSO and time optimal control
inferredcites →https://doi.org/10.1109/med.2006.236703openalex-snapshot
Experiments of Formation Control with Collisions Avoidance using the Null-Space-Based Behavioral Control
inferredcites →https://doi.org/10.1109/robot.2003.1241681openalex-snapshot
Formation constrained multi-robot system in unknown environments
inferredcites →https://doi.org/10.1109/tro.2007.898961openalex-snapshot
Sliding-Mode Formation Control for Underactuated Surface Vessels
inferredcites →https://doi.org/10.1177/027836498600500106openalex-snapshot
Real-Time Obstacle Avoidance for Manipulators and Mobile Robots
inferredcites →https://doi.org/10.1360/aas-007-0947openalex-snapshot
Robust Leader-follower Formation Control of Mobile Robots Based on a Second Order Kinematics Model
inferredcites →https://doi.org/10.3166/ejc.14.93-103openalex-snapshot
Decentralization of Virtual Structures in Formation Control of Multiple Vehicle Systems via Consensus Strategies
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Motion Planning for a Physically Connected Autonomous Multi-Vessel Towing System Based on Control Cell
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A novel method of unmanned surface vehicle autonomous cruise
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Fast Methods for Eikonal Equations: An Experimental Survey
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Collision Avoidance Planning Method of USV Based on Improved Ant Colony Optimization Algorithm
inferred← citeshttps://doi.org/10.1109/access.2019.2927734openalex-snapshot
Nonlinear Merging Consensus for Multi-Agent Systems on Directed and Weighted Signed Graph
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Q-Learning Based Autonomous Control of the Auxiliary Power Network of a Ship
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Learn to Navigate: Cooperative Path Planning for Unmanned Surface Vehicles Using Deep Reinforcement Learning
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Fast Marching-Based Path Generating Algorithm in Anisotropic Environment With Perturbations
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Whale Optimization Algorithm for Ship Path Optimization in Large-Scale Complex Marine Environment
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Recent Research Progress of Unmanned Aerial Vehicle Regulation Policies and Technologies in Urban Low Altitude
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Multi-Objective Genetic Algorithm-Based Autonomous Path Planning for Hinged-Tetro Reconfigurable Tiling Robot
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COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle Using Deep Reinforcement Learning
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COLREGS-based Path Planning for Ships at Sea Using Velocity Obstacles
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Electronic Navigational Charts for Visualization, Simulation, and Autonomous Ship Control
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Environment Potential Field Modeling for Ship Automatic Collision Avoidance in Restricted Waters
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Game Theory-Based Optimal Cooperative Path Planning for Multiple UAVs
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An Improved Artificial Potential Field UAV Path Planning Algorithm Guided by RRT Under Environment-Aware Modeling: Theory and Simulation
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DAT-Based Formation Control With Different Scale Factor of Relative Information Measurement
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A Review on Collaborative Planning of Multiple Unmanned Surface Vehicles
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Dynamic path planning of USV with towed safety boundary in complex ocean environment
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Pursuit-Evasion Strategy of Multi-USV System in Complex Marine Environment with Time-Varying Ocean Current
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Robust Interactive Multiple Model for Collaborative Navigation of Unmanned Surface Vessel Swarm
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A novel efficient task-assign route planning method for AUV guidance in a dynamic cluttered environment
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The Collaborative Autonomy and Control Framework for Unmanned Surface Vehicle
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Implementation and Enhancement of Set-Based Guidance by Velocity Obstacle along with LiDAR for Unmanned Surface Vehicles
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Feasibility study of a constrained Dijkstra approach for optimal path planning of an unmanned surface vehicle in a dynamic maritime environment
inferred← citeshttps://doi.org/10.1109/icca54724.2022.9831912openalex-snapshot
Safe Motion Planning for Goal Reaching of Multiple Autonomous Surface Vehicles Based on High-order Control Barrier Functions
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Multiple Suboptimal Policies Integrated Reinforcement Learning Algorithm for Path Planning
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Historical Data is Useful for Navigation Planning: Data Driven Route Generation for Autonomous Ship
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A New A* Method toward Routing Plan for Marine Vessel
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A distributed model predictive control using virtual field force for multi-ship collision avoidance under COLREGs
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Review and Application of Unmanned Surface Vehicle in China
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Collision Avoidance Strategy for ‘Chuang Zhi Hao’ under the International Regulations for Preventing Collisions at Sea (COLREGs)
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Research Method for Intent Inference of Two-Ship Encounter Scenarios Based on Stackelberg Game
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Time-Synchronized B-Spline Path Planning for Multi-Agent UAV Systems with Fixed Speed Profiles
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Method for Collision Avoidance by USV Based on Improved Genetic Algorithm
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An improved Potential Function Based on Target Position for Underwater Vehicles Collision Avoidance
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Multi-criteria trajectory base path planning algorithm for a moving object in a dynamic environment
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Cooperative transport of a buoyant load: A differential geometric approach
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Decentralized Dynamic Task Allocation Algorithm Based on a Bidding Mechanism
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Surge Speed and Yaw Angle Control System Design on Unmanned Surface Vehicle (USV) Using PID-Fuzzy-Genetic Algorithm
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Unmanned-Surface-Vehicle-Aided Maritime Data Collection Using Deep Reinforcement Learning
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Sequential path planning for a formation of mobile robots with split and merge
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Safe Artificial Potential Field - Novel Local Path Planning Algorithm Maintaining Safe Distance From Obstacles
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Survey on Cooperative Control for Waterborne Transport
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A New Potential Field Inspired Path Planning Algorithm for Ships
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A practical path planning and navigation algorithm for an unmanned surface vehicle using the fast marching algorithm
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A two-layered fast marching path planning algorithm for an unmanned surface vehicle operating in a dynamic environment
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Aspects of a reliable autonomous navigation and guidance system for an unmanned surface vehicle
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Cooperative Navigation Based on Multi-scale Fusion for Unmanned Surface Vehicle Swarm
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Formation Control for Unmanned Surface Vehicles based on Minimum Snap Trajectory Generation
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Reinforcement Learning-Based Optimized Formation Tracking Control for Heterogeneous AAV and ASV Swarms
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Reachability-Based Planning of Time-Optimal Curvature-Constrained Path With Moving and Deforming Obstacles
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Toward a COLREGs Compliant Autonomous Surface Vessel in a Constrained Channel
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Deep Reinforcement Learning of Collision-Free Flocking Policies for Multiple Fixed-Wing UAVs Using Local Situation Maps
inferred← citeshttps://doi.org/10.1109/tits.2026.3678113openalex-snapshot
Automated Graph-Based Path Planning for Navigating Maritime Traffic
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Autonomous Pilot of Unmanned Surface Vehicles: Bridging Path Planning and Tracking
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Path planning of Unmanned Surface Vehicle based on convolutional and long short-term memory neural network
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Autonomous vessels: state of the art and potential opportunities in logistics
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Motion Planning, Guidance, and Control System for Autonomous Surface Vessel
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Long-Range Risk-Aware Path Planning for Autonomous Ships in Complex and Dynamic Environments
inferred← citeshttps://doi.org/10.1115/1.4063013openalex-snapshot
Path Planning for Autonomous Systems Design: A Focus Genetic Algorithm for Complex Environments
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Enhancing the application of the grey wolf optimizer algorithm in USV path planning: a research study
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An Improved A-Star Algorithm for Complete Coverage Path Planning of Unmanned Ships
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The Influence of Weights in SOM Multitask Planning
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Asynchronous Adaptive Fault-Tolerant Control for Networked Stochastic Unmanned Surface Vehicles with Multiple Types of Actuator Faults
inferred← citeshttps://doi.org/10.1155/2023/2146314openalex-snapshot
Path Planning Algorithm for Unmanned Surface Vessel Based on Multiobjective Reinforcement Learning
inferred← citeshttps://doi.org/10.1177/09544100251349764openalex-snapshot
Resilient search-attack task planning for heterogeneous unmanned systems in adversarial environments
inferred← citeshttps://doi.org/10.1177/0959651820973558openalex-snapshot
Neural tracking control of surface vehicles with lumped uncertainties
inferred← citeshttps://doi.org/10.1177/1475090220970102openalex-snapshot
Deep learning structure for collision avoidance planning of unmanned surface vessel
inferred← citeshttps://doi.org/10.1177/14750902251343119openalex-snapshot
Multiple obstacle collision avoidance path-following dynamic surface control of underactuated ship with unknown ocean interference
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Online paths planning method for unmanned surface vehicles based on rapidly exploring random tree and a cooperative potential field
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Path planning for unmanned surface vehicle based on predictive artificial potential field
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Multi-criteria ACO-based Algorithm for Ship’s Trajectory Planning
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Ship Domain Model for Multi-ship Collision Avoidance Decision-making with COLREGs Based on Artificial Potential Field
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Trends and Challenges in Unmanned Surface Vehicles (USV): From Survey to Shipping
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Integrating Artificial Intelligence into Naval Capability Development
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