Human-Centric Aware UAV Trajectory Planning in Search and Rescue Missions Employing Multi-Objective Reinforcement Learning with AHP and Similarity-Based …
The integration of Unmanned Aerial Vehicles (UAVs) into Search and Rescue (SAR)
missions presents a promising avenue for enhancing operational efficiency and …
missions presents a promising avenue for enhancing operational efficiency and …
A Balanced Collision Avoidance Algorithm for USVs in Complex Environment: A Deep Reinforcement Learning Approach
M Lou, X Yang, J Hu, Z Zhu, H Shen… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
The collision avoidance in real-time is crucial for unmanned surface vehicles (USVs) in a
complex environment. Traditional methods make it hard to ensure the balance of control …
complex environment. Traditional methods make it hard to ensure the balance of control …
Analysis of Transportation Systems for Colonies on Mars
The colonization of Mars poses unprecedented challenges in develo** sustainable and
efficient transportation systems to support inter-settlement connectivity and resource …
efficient transportation systems to support inter-settlement connectivity and resource …
Double critics and double actors deep deterministic policy gradient for mobile robot navigation using adaptive parameter space noise and parallel experience replay
In recent years, mobile robots have been increasingly used in a variety of industries, such as
manufacturing, logistics, health care, and security services. Effective autonomous navigation …
manufacturing, logistics, health care, and security services. Effective autonomous navigation …
Long-distance Geomagnetic Navigation in GNSS-denied Environments with Deep Reinforcement Learning
W Bai, X Zhang, S Zhang, S Yang, Y Li… - ar**, autonomous driving, and robot collision …
Multi-objective Trajectory Planning for UAV-Assisted IoT Networks Based on DRL Approach
J Pan, Y Li, R Chai, S **a, L Zuo - IEEE Internet of Things …, 2025 - ieeexplore.ieee.org
Unmanned aerial vehicles (UAVs), due to their inherent flexibility and autonomous
operation, are widely used in Internet of things (IoT) networks for collecting data to facilitate …
operation, are widely used in Internet of things (IoT) networks for collecting data to facilitate …
[HTML][HTML] UAV Autonomous Navigation Based on Deep Reinforcement Learning in Highly Dynamic and High-Density Environments
Y Sheng, H Liu, J Li, Q Han - Drones, 2024 - mdpi.com
Autonomous navigation of Unmanned Aerial Vehicles (UAVs) based on deep reinforcement
learning (DRL) has made great progress. However, most studies assume relatively simple …
learning (DRL) has made great progress. However, most studies assume relatively simple …
Autonomous navigation of UAV in complex environment: a deep reinforcement learning method based on temporal attention
S Liu, S Zou, X Chang, H Liu, L Zhang, X Deng - Applied Intelligence, 2025 - Springer
With the increasing demand for Unmanned Aerial Vehicles (UAVs) in both military and civil
applications, the ability for UAVs to automatically avoid obstacles and navigate to specific …
applications, the ability for UAVs to automatically avoid obstacles and navigate to specific …
Perception-Aware Based UAV Trajectory Planner via Generative Adversarial Self-Imitation Learning From Demonstrations
H Zhang, J Huo, Y Huang, J Cheng… - IEEE Internet of Things …, 2024 - ieeexplore.ieee.org
The use of unmanned aerial vehicles (UAVs) for Internet of Things applications, like
intelligent monitoring and search, is increasingly becoming a popular research focus …
intelligent monitoring and search, is increasingly becoming a popular research focus …