Cooperative motion planning and control for aerial-ground autonomous systems: Methods and applications
This review article offers an in-depth analysis of cooperative motion planning and control in
aerial-ground autonomous systems, emphasizing their methods and applications. It explores …
aerial-ground autonomous systems, emphasizing their methods and applications. It explores …
State-of-the-art and future research challenges in uav swarms
Due to their potential to accomplish complicated missions more effectively, UAV swarms
have attracted a lot of attention lately. UAV swarm offers enhanced intelligence, improved …
have attracted a lot of attention lately. UAV swarm offers enhanced intelligence, improved …
Collaborative data acquisition for UAV-aided IoTs based on time-balancing scheduling
The emergence of the Internet of Things (IoT) has revolutionized various domains by
enabling seamless connectivity and real-time data exchange between connected IoT …
enabling seamless connectivity and real-time data exchange between connected IoT …
Unmanned Autonomous Intelligent System in 6G Non-Terrestrial Network
X Wang, Y Guo, Y Gao - Information, 2024 - mdpi.com
Non-terrestrial network (NTN) is a trending topic in the field of communication, as it shows
promise for scenarios in which terrestrial infrastructure is unavailable. Unmanned …
promise for scenarios in which terrestrial infrastructure is unavailable. Unmanned …
Dppm: Decentralized exploration planning for multi-uav systems using lightweight information structure
Y Hui, X Zhang, H Shen, H Lu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Autonomous exploration of unknown environments with multiple Unmanned Aerial Vehicles
(UAVs) is a challenging problem. In this article, we present DPPM, a Decentralized …
(UAVs) is a challenging problem. In this article, we present DPPM, a Decentralized …
Dynamic Event-Triggered Consensus Cost-Based Switching Control for UAV Formation With Disturbances
This article focuses on the scene wherein some of unmanned aerial vehicles (UAVs) are
destroyed by enemy attacks or accidental crash, the number of plentiful UAVs will reduce …
destroyed by enemy attacks or accidental crash, the number of plentiful UAVs will reduce …
Vision-Based Deep Reinforcement Learning of UAV-UGV Collaborative Landing Policy Using Automatic Curriculum
Collaborative autonomous landing of a quadrotor Unmanned Aerial Vehicle (UAV) on a
moving Unmanned Ground Vehicle (UGV) presents challenges due to the need for accurate …
moving Unmanned Ground Vehicle (UGV) presents challenges due to the need for accurate …
A distributed framework for multiple UAV cooperative target search under dynamic environment
The rapid advancement of unmanned aerial vehicles (UAVs) has led to widespread
application in cooperative target search. As task scenarios become more complex, the …
application in cooperative target search. As task scenarios become more complex, the …
Advancing UAV Communications: A Comprehensive Survey of Cutting-Edge Machine Learning Techniques
C Sun, G Fontanesi, B Canberk… - IEEE Open Journal …, 2024 - ieeexplore.ieee.org
This paper provides a comprehensive overview of the evolution of Machine Learning (ML),
from traditional to advanced, in its application and integration into unmanned aerial vehicle …
from traditional to advanced, in its application and integration into unmanned aerial vehicle …
A Goal-Directed Trajectory Planning Using Active Inference in UAV-Assisted Wireless Networks
Deploying unmanned aerial vehicles (UAVs) as aerial base stations is an exceptional
approach to reinforce terrestrial infrastructure owing to their remarkable flexibility and …
approach to reinforce terrestrial infrastructure owing to their remarkable flexibility and …