Research on Unmanned Aerial Vehicle Path Planning
J Luo, Y Tian, Z Wang - Drones, 2024 - mdpi.com
As the technology of unmanned aerial vehicles (UAVs) advances, these vehicles are
increasingly being used in various industries. However, the navigation of UAVs often faces …
increasingly being used in various industries. However, the navigation of UAVs often faces …
Mobile-IRS assisted next generation UAV communication networks
Prior research on intelligent reflection surface (IRS)-assisted unmanned aerial vehicle (UAV)
communications has focused on a fixed location for the IRS or mounted on a UAV. The …
communications has focused on a fixed location for the IRS or mounted on a UAV. The …
Deep Learning and Game Theory for AI-Enabled Human-Robot Collaboration System Design in Industry 4.0
Y Xing, D Hou, J Liu, H Yuan… - 2024 IEEE 14th Annual …, 2024 - ieeexplore.ieee.org
In this paper, an optimization problem in a human-robot collaboration system is addressed.
In Industry 4.0, mobile robots and stationary human workers work simultaneously in the …
In Industry 4.0, mobile robots and stationary human workers work simultaneously in the …
Autonomous Multi-Drone Warehousing through Deep Reinforcement Learning and Predictive Potential Fields
ME Longa, Z Wei, A Tsourdos, I Gokhan - 2024 - researchsquare.com
The multi-agent reinforcement learning (MARL) problem is a well-known field of study that
has been gaining special interest in the last decade. From cooperative to competitive …
has been gaining special interest in the last decade. From cooperative to competitive …