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Present state and future prospect of autonomous control technology for industrial drones

https://doi.org/10.1002/tee.23041
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What this work says

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

inferredcites →https://doi.org/10.1007/978-4-431-53856-1openalex-snapshot
Autonomous Flying Robots: Unmanned Aerial Vehicles and Micro Aerial Vehicles
inferredcites →https://doi.org/10.1007/978-4-431-54276-6openalex-snapshot
Autonomous Control Systems and Vehicles
inferredcites →https://doi.org/10.1007/978-90-481-9707-1openalex-snapshot
Handbook of Unmanned Aerial Vehicles
inferredcites →https://doi.org/10.7210/jrsj.35.700openalex-snapshot
Research on Sub-committee of Aerial Robots of ImPACT/TRC

What points at this work

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

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Autonomous control of unmanned aerial vehicles: applications, requirements, challenges
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High misalignment-tolerant wireless charging magnetic coupling system with combined pickups for UAVs
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Ethical considerations for autonomous driving
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AITL-WING-HITL: Telemanipulation of autonomous drones using Digital Twins of aerial traffic interfaced With WING
inferred← citeshttps://doi.org/10.1061/9780784486115.060openalex-snapshot
Decoding AI Valuation in Drone Controls
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Manager Appraisal of Artificial Intelligence Investments
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Optimal design, control and implementation of multi-drones for commercial utility
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Planning the Future of Smart Cities With Swarms of Fully Autonomous Unmanned Aerial Vehicles Using a Novel Framework
inferred← citeshttps://doi.org/10.1109/access.2023.3314504openalex-snapshot
Toward Mid-Air Collision-Free Trajectory for Autonomous and Pilot-Controlled Unmanned Aerial Vehicles
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3D Flight Path Planning for UAV Based on Improved Particle Swarm Optimization Algorithm
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Adaptive UAV Swarm Mission Planning by Temporal Difference Learning
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An Automatic Navigation System for New Technical Advanced Drones for Different Alpplications
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Research on the STM32 Based Inertial Navigation Integrated System of UAV
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Human-in-the-Loop Telemanipulation Schemes for Autonomous Unmanned Aerial Systems
inferred← citeshttps://doi.org/10.1109/mesa61532.2024.10704856openalex-snapshot
Platform to Test and Evaluate Human-in-the-Loop Telemanipulation Schemes for Autonomous Unmanned Aerial Systems
inferred← citeshttps://doi.org/10.1111/2041-210x.70217openalex-snapshot
Biodiversity research requires more motors in air, water and on land
inferred← citeshttps://doi.org/10.1142/s2737480721020015openalex-snapshot
Editorial of Special Issue on UAV Autonomous, Intelligent and Safe Control
inferred← citeshttps://doi.org/10.1145/3613904.3642061openalex-snapshot
Firefighters' Perceptions on Collaboration and Interaction with Autonomous Drones: Results of a Field Trial
inferred← citeshttps://doi.org/10.1155/er/9959245openalex-snapshot
Advancing Capabilities With UAVs: A Comprehensive Review of Sensor Fusion, Path Planning, Energy Management, and Deep Learning Algorithms
inferred← citeshttps://doi.org/10.1541/ieejjia.25001660openalex-snapshot
Improving Multicopter Feedback Controllers for Flight in Vertically Narrow Space Using Robust Controller Bode Plot
inferred← citeshttps://doi.org/10.3390/drones7080514openalex-snapshot
Model-Free Guidance Method for Drones in Complex Environments Using Direct Policy Exploration and Optimization
inferred← citeshttps://doi.org/10.3390/drones8110628openalex-snapshot
A Vision-Based End-to-End Reinforcement Learning Framework for Drone Target Tracking
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Three-Dimensional Path Planning of UAV Based on Improved Particle Swarm Optimization
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