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A reinforcement learning-based path planning for collaborative UAVs

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What this work says

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

inferredcites →https://doi.org/10.1016/j.procs.2015.05.274openalex-snapshot

Model of Collaborative UAV Swarm Toward Coordination and Control Mechanisms Study

inferredcites →https://doi.org/10.1109/access.2020.3001752openalex-snapshot

Adaptive UAV-Trajectory Optimization Under Quality of Service Constraints: A Model-Free Solution

inferredcites →https://doi.org/10.1109/infocomwkshps50562.2020.9162896openalex-snapshot

Deep Reinforcement Learning for Fresh Data Collection in UAV-assisted IoT Networks

inferredcites →https://doi.org/10.1109/ssrr.2018.8468611openalex-snapshot

Reinforcement Learning for Autonomous UAV Navigation Using Function Approximation

inferredcites →https://doi.org/10.1109/tcomm.2022.3148364openalex-snapshot

3D UAV Trajectory and Data Collection Optimisation Via Deep Reinforcement Learning

inferredcites →https://doi.org/10.1109/tcst.2014.2312392openalex-snapshot

Multirobot Cooperative Learning for Predator Avoidance

inferredcites →https://doi.org/10.1109/tie.2017.2708000openalex-snapshot

AdaSharing: Adaptive Data Sharing in Collaborative Robots

inferredcites →https://doi.org/10.1109/tmc.2020.2966989openalex-snapshot

Autonomous UAV Trajectory for Localizing Ground Objects: A Reinforcement Learning Approach

inferredcites →https://doi.org/10.3390/s18124202openalex-snapshot

A Collaborative UAV-WSN Network for Monitoring Large Areas

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4618439openalex-extracted

Energy-Efficient Path Planning in Precision Agriculture Using RL-Driven Collaborative UAVs

inferred← citeshttps://doi.org/10.1007/978-3-031-61137-7_19openalex-snapshot

AI Emmbedded in Drone Control

inferred← citeshttps://doi.org/10.1007/978-981-95-2820-2_17openalex-snapshot

Potential of TinyML and Federated Reinforcement Learning-Based Trajectory Optimization in Space-Air-Ground Integrated Network

inferred← citeshttps://doi.org/10.1007/s40747-023-01111-6openalex-snapshot

FF-RRT*: a sampling-improved path planning algorithm for mobile robots against concave cavity obstacle

inferred← citeshttps://doi.org/10.1007/s42496-026-00314-7openalex-snapshot

Optimizing Unmanned Aerial Vehicle Path finding in Complex Urban Airspaces: A Hybrid Genetic Algorithm with Bidirectional and Greedy Initialization

inferred← citeshttps://doi.org/10.1109/aeeca62331.2024.00085openalex-snapshot

Ground Unmanned Vehicle Cluster Navigation Method Based on MARL and Dual Experience Replay Buffers

inferred← citeshttps://doi.org/10.1109/iotm.001.2200275openalex-snapshot

Intelligent Space-Air-Ground Collaborative Computing Networks

inferred← citeshttps://doi.org/10.1109/ipec61310.2024.00107openalex-snapshot

The Enhanced UGV Cluster Navigation Methodology Based on MARL and LSTM

inferred← citeshttps://doi.org/10.1109/jiot.2024.3361394openalex-snapshot

TinyFDRL-Enhanced Energy-Efficient Trajectory Design for Integrated Space–Air–Ground Networks

inferred← citeshttps://doi.org/10.1117/12.3025879openalex-snapshot

Ground unmanned vehicle cluster search method based on multi-agent reinforcement learning

inferred← citeshttps://doi.org/10.23919/jcn.2023.000031openalex-snapshot

On collaborative multi-UAV trajectory planning for data collection

inferred← citeshttps://doi.org/10.3390/drones6100310openalex-snapshot

RISE: Rolling-Inspired Scheduling for Emergency Tasks by Heterogeneous UAVs

inferred← citeshttps://doi.org/10.3390/drones8080367openalex-snapshot

ERRT-GA: Expert Genetic Algorithm with Rapidly Exploring Random Tree Initialization for Multi-UAV Path Planning

inferred← citeshttps://doi.org/10.3390/info15080477openalex-snapshot

GLIDE: Multi-Agent Deep Reinforcement Learning for Coordinated UAV Control in Dynamic Military Environments

inferred← citeshttps://doi.org/10.3390/rs16163096openalex-snapshot

Path Planning of UAV Formations Based on Semantic Maps

inferred← citeshttps://doi.org/10.3390/s25072189openalex-snapshot

FHQ-RRT*: An Improved Path Planning Algorithm for Mobile Robots to Acquire High-Quality Paths Faster

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