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Chapter and Conference Paper
The Application of the Reinforcement Learning Method for Mobile Robot Navigation in an Unknown Environment
Mobile robots have attracted the attention of researchers because of their potential use in industry and daily life. Traditional navigation methods based on the predefined path or known map have been successfu...
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Chapter and Conference Paper
Surface Roughness Prediction in Ball End Milling of AA6061 by Various Machine Learning Algorithms
This work uses machine learning (ML) models to estimate the roughness of surface texture in the manufacture of aluminum by ball end milling operation. The ball end tool, inclination angle, feed rate along the ...
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Chapter and Conference Paper
Optimization of Process Parameter in High-Speed Milling AA6061 Using SVR and NSGA-II
Obtaining optimal machining conditions to increase machining efficiency in the milling process is a difficult mission. This paper presents an experimental study and optimization of the machining parameters for...
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Chapter and Conference Paper
Prediction Model for Surface Roughness of Polycarbonate Using Single-Point-Diamond-Turning Lathe Machining Based on Machine Learning Techniques
The goal of this research is to use Machine Learning (ML) models to forecast surface roughness in the manufacture of Polycarbonate (PC) using the Single-Point-Diamond-Turning (SPDT) process. Feed rate, cut dep...
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Chapter and Conference Paper
Face Recognition and Hand Gesture Control for Tello Drone Navigation
These days, low-cost commercial drones are rapidly used in variety of fields, ranging from manufacturing and logistics to STEM education. This paper addresses a fully-actuated Tello Drone’s control under rando...
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Chapter
Machine Learning Applications on Box-Office Revenue Forecasting: The Taiwanese Film Market Case Study
The Random Forest algorithm (RFA) is used to predict the approximate final box-office revenue of a movie in the Taiwanese film market. The results show that the RFA has stable capabilities to predict the final...
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Article
Deep Reinforcement Learning Based Decision-Making Strategy of Autonomous Vehicle in Highway Uncertain Driving Environments
Uncertain environment on multi-lane highway, e.g., the stochastic lane-change maneuver of surrounding vehicles, is a big challenge for achieving safe automated highway driving. To improve the driving safety, a...
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Article
Preface for Cyber-Attack Detection and Resilient Control of Intelligent and Connected Vehicles
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Article
Fuzzy Unknown Input Observer for Estimating Sensor and Actuator Cyber-Attacks in Intelligent Connected Vehicles
The detection and mitigation of cyber-attacks in connected vehicle systems (CVSs) are critical for ensuring the security of intelligent connected vehicles. This paper presents a solution to estimate sensor and...
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Chapter and Conference Paper
Multiple Target Activity Recognition by Combining YOLOv5 with LSTM Network
Human detection plays an important role in several fields (such as autonomous mobile robots, bio-medical applications, military applications, etc.) and has received considerable attention from researchers in r...
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Chapter and Conference Paper
Discrete Element Modeling Based Determination of Shear Behavior in a Granular Medium Through Displacement Field
In this study, a numerical Discrete-Element-Modeling (DEM) model was created to analyze a displacement field to identify the shear behavior in a granular media. The resultant shear stress/normal stress ratio w...
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Article
Membership Functions Integration Approach for State Feedback Control of T-S Fuzzy Systems
For the stability analysis problem of a T-S fuzzy system, a membership functions integration-based method is proposed to relax the existing conservatism. Firstly, indefinite integral functions are derived for ...
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Chapter and Conference Paper
Obstacle Avoidance for Autonomous Mobile Robots Based on Map** Method
In recent years, the mobile robot has been considerable attention to researchers for its application in various environments. For a mobile robot navigating its way from a starting point to a goal point while t...
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Chapter and Conference Paper
Mobile Robot Motion Control Using a Combination of Fuzzy Logic Method and Kinematic Model
Mobile robots have been widely used in various aspects of human life. When a robot moves between different positions in the working area to perform the task, controlling motion to follow a pre-defined path is ...
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Chapter and Conference Paper
A Real-Time Human Tracking System Using Convolutional Neural Network and Particle Filter
In our paper, a novel approach is proposed for real time tracking human targets in cases of full occlusion and complex environments with a normal webcam. In the proposed methodology, a deep learning model is c...
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Chapter and Conference Paper
Development of a Multiple-Sensor Navigation System for Autonomous Guided Vehicle Localization
In recent years the autonomous guided vehicle (AGV) has been widely applied in the transportation of materials and products in industrial areas where navigation can be done in a constructed environment. The lo...
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Article
Human locomotion with reinforcement learning using bioinspired reward resha** strategies
Recent learning strategies such as reinforcement learning (RL) have favored the transition from applied artificial intelligence to general artificial intelligence. One of the current challenges of RL in health...
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Article
Nonlinear Tracking Control with Reduced Complexity of Serial Robots: A Robust Fuzzy Descriptor Approach
This paper presents a nonlinear tracking control approach for a two-degree-of-freedom serial manipulator. The design goal is to achieve a guaranteed ...
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Article
Improved LMI Conditions for Local Quadratic Stabilization of Constrained Takagi–Sugeno Fuzzy Systems
This paper is devoted to the control synthesis of constrained Takagi–Sugeno (T–S) fuzzy systems. These systems are subject to multiple constraints, namely actuator saturation, system state constraints, and also ...
