[HTML][HTML] Path planning algorithm of robot arm based on improved RRT* and BP neural network algorithm

Q Gao, Q Yuan, Y Sun, L Xu - Journal of King Saud University-Computer …, 2023 - Elsevier
To address the issues of slow motion planning, low efficiency, and high path calculation cost
of the six-degrees of freedom manipulator in three dimensional multi-obstacle narrow space …

Aerodynamic analysis on unsteady characteristics of a ducted fan hovering in ceiling effect

Y Luo, T Ai, Y He, Z Zhao, B Xu, Y Qian… - Engineering …, 2023 - Taylor & Francis
Ducted fans have been widely used in unmanned aerial vehicles (UAVs) for various
operations due to the high efficiency, low noise and high safety. Proximity effects caused by …

[HTML][HTML] Force-Based Self-Organizing MANET/FANET with a UAV Swarm

F Saffre, H Hildmann, A Anttonen - Future Internet, 2023 - mdpi.com
This paper introduces a novel distributed algorithm designed to optimize the deployment of
access points within Mobile Ad Hoc Networks (MANETs) for better service quality in …

[HTML][HTML] NT-ARS-RRT: A novel non-threshold adaptive region sampling RRT algorithm for path planning

Y Liu, C Li, H Yu, C Song - Journal of King Saud University-Computer and …, 2023 - Elsevier
Abstract Rapidly-Exploring Random Tree (RRT) algorithm is a widely used path planning
method. However, it suffers from low solution efficiency, no search guidance, poor quality of …

Obstacle Avoidance and Path Planning Methods for Autonomous Navigation of Mobile Robot

K Katona, HA Neamah, P Korondi - Sensors, 2024 - mdpi.com
Path planning creates the shortest path from the source to the destination based on sensory
information obtained from the environment. Within path planning, obstacle avoidance is a …

[HTML][HTML] A Disaster Relief UAV Path Planning Based on APF-IRRT* Fusion Algorithm

Q Diao, J Zhang, M Liu, J Yang - Drones, 2023 - mdpi.com
Unmanned Aerial Vehicle (UAV) path planning has increasingly become the key research
point for civilian drones to expand their use and enhance their work efficiency. Focusing on …

[HTML][HTML] Research on Dynamic Target Search for Multi-UAV Based on Cooperative Coevolution Motion-Encoded Particle Swarm Optimization

Y Li, W Chen, B Fu, Z Wu, L Hao, G Yang - Applied Sciences, 2024 - mdpi.com
Effectively strategizing the trajectories of multiple Unmanned Aerial Vehicles (UAVs) within a
dynamic environment to optimize the search for and tracking of mobile targets presents a …

[HTML][HTML] Ground risk assessment for unmanned aircraft systems based on dynamic model

Q Jiao, Y Liu, Z Zheng, L Sun, Y Bai, Z Zhang, L Sun… - Drones, 2022 - mdpi.com
Ground risk, as one of the key parameters for assessing risk before an operation, plays an
important role in the safety management of unmanned aircraft systems. However, how to …

[HTML][HTML] An autonomous maze-solving robotic system based on an enhanced wall-follower approach

S Alamri, H Alamri, W Alshehri, S Alshehri, A Alaklabi… - Machines, 2023 - mdpi.com
Autonomous robots are designed to discover and interpret their surroundings and orient
themselves around obstacles to reach the destination point from an initial point. Robot …

Energy-Aware Hierarchical Reinforcement Learning Based on the Predictive Energy Consumption Algorithm for Search and Rescue Aerial Robots in Unknown …

M Ramezani, A Atashgah - Drones, 2024 - mdpi.com
Aerial robots (drones) offer critical advantages in missions where human participation is
impeded due to hazardous conditions. Among these, search and rescue missions in disaster …