557 citations · 1.6k across the 52 of their papers we have counts for
52 papers
Bi-Layer Ant Colony Optimization for Multi-Robot Task Allocation and Routing in Delivery Applications
Le Na Nguyen, Thanh Long Nguyen, Thanh Thao Ton Nu +2
This paper addresses the multi-robot task allocation (MRTA) problem, which is essential for delivery and logistics applications. Our approach first defines a new cost function that…
Polar Coordinate-based Differential Evolution for Moving Target Search Using Vision Sensor on Unmanned Aerial Vehicles
Thu Hang Khuat, Duy-Nam Bui, Thuy Ngan Duong +1
In search and rescue operations, there is a period known as the "golden time" during which the probability of finding the target alive is highest. The objective of this work is to…
Multimodal Smart Glove for Sign Language Recognition Using Deep Learning
Anh Thu Nguyen Ngoc, Tam Phong Truong, Thai Anh Nguyen Duong +2
Sign language recognition technologies can improve communication between deaf individuals and the broader community, but many existing systems face challenges in real-world deploym…
Cross-Session 3D LiDAR and Camera Fusion for Robust Localization of Unmanned Aerial Vehicles in GPS-Denied Environments
Cong Hoang Quach, Chi Thanh Vo, Dong LT. Tran +3
Accurate localization of unmanned aerial vehicles (UAVs) is essential for applications such as structural health monitoring, especially in environments where Global Positioning Sys…
Design of a Bio-Inspired Miniature Submarine for Low-Cost Water Quality Monitoring
Quang Huy Vu, Quan Le, Manh Duong Phung
Water quality monitoring is essential for protecting aquatic ecosystems and detecting environmental pollution. This paper presents the design and experimental validation of a bio-i…
Real-time Recognition of Human Interactions from a Single RGB-D Camera for Socially-Aware Robot Navigation
Thanh Long Nguyen, Duc Phu Nguyen, Thanh Thao Ton Nu +3
{Recognizing human interactions is essential for social robots as it enables them to navigate safely and naturally in shared environments. Conventional robotic systems however ofte…
Event-based Reconfiguration Control for Time-varying Formation of Robot Swarms in Narrow Spaces
Duy-Nam Bui, Manh Duong Phung, Hung Pham Duy
This study proposes an event-based reconfiguration control to navigate a robot swarm through challenging environments with narrow passages such as valleys, tunnels, and corridors.…
Multi-goal Rapidly Exploring Random Tree with Safety and Dynamic Constraints for UAV Cooperative Path Planning
Thu Hang Khuat, Duy-Nam Bui, Hoa TT. Nguyen +3
Cooperative path planning is gaining its importance due to the increasing demand on using multiple unmanned aerial vehicles (UAVs) for complex missions. This work addresses the pro…
Adaptive Twisting Sliding Control for Integrated Attack UAV's Autopilot and Guidance
Minh Tu Nguyen, Van Truong Hoang, Manh Duong Phung +1
This paper investigates an adaptive sliding-mode control for an integrated UAV autopilot and guidance system. First, a two-dimensional mathematical model of the system is derived b…
Path Planning for a UAV Swarm Using Formation Teaching-Learning-Based Optimization
Van Truong Hoang, Manh Duong Phung
This work addresses the path planning problem for a group of unmanned aerial vehicles (UAVs) to maintain a desired formation during operation. Our approach formulates the problem a…
Navigation Variable-based Multi-objective Particle Swarm Optimization for UAV Path Planning with Kinematic Constraints
Thi Thuy Ngan Duong, Duy-Nam Bui, Manh Duong Phung
Path planning is essential for unmanned aerial vehicles (UAVs) as it determines the path that the UAV needs to follow to complete a task. This work addresses this problem by introd…
Socially Aware Motion Planning for Service Robots Using LiDAR and RGB-D Camera
Duc Phu Nguyen, Thanh Long Nguyen, Minh Dang Tu +3
Service robots that work alongside humans in a shared environment need a navigation system that takes into account not only physical safety but also social norms for mutual coopera…
Model Predictive Control for Optimal Motion Planning of Unmanned Aerial Vehicles
Duy-Nam Bui, Thu Hang Khuat, Manh Duong Phung +2
Motion planning is an essential process for the navigation of unmanned aerial vehicles (UAVs) where they need to adapt to obstacles and different structures of their operating envi…
Radial Basis Function Neural Networks for Formation Control of Unmanned Aerial Vehicles
Duy-Nam Bui, Manh Duong Phung
This paper addresses the problem of controlling multiple unmanned aerial vehicles (UAVs) cooperating in a formation to carry out a complex task such as surface inspection. We first…
Object Detection in Thermal Images Using Deep Learning for Unmanned Aerial Vehicles
Minh Dang Tu, Kieu Trang Le, Manh Duong Phung
This work presents a neural network model capable of recognizing small and tiny objects in thermal images collected by unmanned aerial vehicles. Our model consists of three parts,…
Ant Colony Optimization for Cooperative Inspection Path Planning Using Multiple Unmanned Aerial Vehicles
Duy Nam Bui, Thuy Ngan Duong, Manh Duong Phung
This paper presents a new swarm intelligence-based approach to deal with the cooperative path planning problem of unmanned aerial vehicles (UAVs), which is essential for the automa…
Self-Reconfigurable V-shape Formation of Multiple UAVs in Narrow Space Environments
Duy Nam Bui, Manh Duong Phung, Hung Pham Duy
This paper presents the design and implementation of a self-reconfigurable V-shape formation controller for multiple unmanned aerial vehicles (UAVs) navigating through narrow space…
Lyapunov-based Nonlinear Model Predictive Control for Attitude Trajectory Tracking of Unmanned Aerial Vehicles
Duy Nam Bui, Thi Thanh Van Nguyen, Manh Duong Phung
This paper presents a new Lyapunov-based nonlinear model predictive controller (LNMPC) for the attitude control problem of unmanned aerial vehicles (UAVs), which is essential for t…
Stag hunt game-based approach for cooperative UAVs
L. V. Nguyen, I. Torres Herrera, T. H. Le +3
Unmanned aerial vehicles (UAVs) are being employed in many areas such as photography, emergency, entertainment, defence, agriculture, forestry, mining and construction. Over the la…
Classification of EEG Motor Imagery Using Deep Learning for Brain-Computer Interface Systems
Alessandro Gallo, Manh Duong Phung
A trained T1 class Convolutional Neural Network (CNN) model will be used to examine its ability to successfully identify motor imagery when fed pre-processed electroencephalography…
Enhanced Teaching-Learning-based Optimization for 3D Path Planning of Multicopter UAVs
Van Truong Hoang, Manh Duong Phung
This paper introduces a new path planning algorithm for unmanned aerial vehicles (UAVs) based on the teaching-learning-based optimization (TLBO) technique. We first define an objec…
Mobile Robot Localization Using Fuzzy Neural Network Based Extended Kalman Filter
Thi Thanh Van Nguyen, Manh Duong Phung, Thuan Hoang Tran +1
This paper proposes a novel approach to improve the performance of the extended Kalman filter (EKF) for the problem of mobile robot localization. A fuzzy logic system is employed t…
Development of a Fast and Robust Gaze Tracking System for Game Applications
Manh Duong Phung, Cong Hoang Quach, Quang Vinh Tran
In this study, a novel eye tracking system using a visual camera is developed to extract human's gaze, and it can be used in modern game machines to bring new and innovative intera…
Hierarchical Convolutional Neural Network with Feature Preservation and Autotuned Thresholding for Crack Detection
Qiuchen Zhu, Tran Hiep Dinh, Manh Duong Phung +1
Drone imagery is increasingly used in automated inspection for infrastructure surface defects, especially in hazardous or unreachable environments. In machine vision, the key to cr…