[PDF][PDF] A review of multi-agent mobile robot systems applications
AAA Rasheed, MN Abdullah… - International Journal of …, 2022 - academia.edu
A multi-agent robot system (MARS) is one of the most important topics nowadays. The basic
task of this system is based on distributive and cooperative work among agents (robots). It …
task of this system is based on distributive and cooperative work among agents (robots). It …
Different cell decomposition path planning methods for unmanned air vehicles-A review
Abstract An Unmanned Aerial Vehicle (UAV) or robot is guided towards its goal through path
planning that helps it in avoiding obstacles. Path planning generates a path between a …
planning that helps it in avoiding obstacles. Path planning generates a path between a …
Trajectory planning for UAV navigation in dynamic environments with matrix alignment Dijkstra
J Wang, Y Li, R Li, H Chen, K Chu - Soft Computing, 2022 - Springer
The trajectory planning for Unmanned aerial vehicles (UAVs) in the dynamic environments
is a challenging task. Many restrictions should be taken into consideration, including …
is a challenging task. Many restrictions should be taken into consideration, including …
Application of Deep Reinforcement Learning to UAV Swarming for Ground Surveillance
This paper summarizes in depth the state of the art of aerial swarms, covering both classical
and new reinforcement-learning-based approaches for their management. Then, it proposes …
and new reinforcement-learning-based approaches for their management. Then, it proposes …
Mapping a hospital using OpenStreetMap and Graphhopper: A navigation system
We present a mobile-based navigation system with the emphasis on the pedestrian
navigation for Hospital Kuala Lumpur (henceforth, HKL) named as HKLNS. This practical …
navigation for Hospital Kuala Lumpur (henceforth, HKL) named as HKLNS. This practical …
Optimization-based model predictive tube control for autonomous ground vehicles with minimal tuning parameters
A Kovacs, I Vajk - Unmanned Systems, 2023 - World Scientific
The trajectory planning and tracking problem are critical points of intelligent vehicles
concerning their safety and stability. If these parts are separated, interactions should be …
concerning their safety and stability. If these parts are separated, interactions should be …
An adaptive neural control methodology design for dynamics mobile robot
The paper demonstrates an enhancement in the mobile robot's performance during
trajectory tracking with static obstacles. An adaptive artificial neural network (ANN) control …
trajectory tracking with static obstacles. An adaptive artificial neural network (ANN) control …
Computationally efficient path planning algorithm for autonomous vehicle
This paper analyses an experimental path planning performance between the Iterative
Equilateral Space Oriented Visibility Graph (IESOVG) and conventional Visibility Graph (VG) …
Equilateral Space Oriented Visibility Graph (IESOVG) and conventional Visibility Graph (VG) …
Energy efficient elliptical concave visibility graph algorithm for unmanned aerial vehicle in an obstacle-rich environment
This paper proposes a path planning algorithm for unmanned aerial vehicle (UAV) called
Elliptical Concave Visibility Graph (ECoVG). The algorithm, which is based on visibility …
Elliptical Concave Visibility Graph (ECoVG). The algorithm, which is based on visibility …
[PDF][PDF] Efficient robotic path planning algorithm based on artificial potential field
EN Sabudin, R Omar, SK Debnath… - International Journal of …, 2021 - academia.edu
Path planning is crucial for a robot to be able to reach a target point safely to accomplish a
given mission. In path planning, three essential criteria have to be considered namely path …
given mission. In path planning, three essential criteria have to be considered namely path …