A5025834715- Human Mobility and Location-Based Analysis
- Traffic Prediction and Management Techniques
- Advanced Technologies in Various Fields
- Industrial Vision Systems and Defect Detection
- Control and Dynamics of Mobile Robots
- Medical Imaging and Analysis
- Fault Detection and Control Systems
- Anomaly Detection Techniques and Applications
- E-commerce and Technology Innovations
- Robotic Mechanisms and Dynamics
- Scoliosis diagnosis and treatment
- Adaptive Control of Nonlinear Systems
- Smart Grid Security and Resilience
- Traffic control and management
- Teleoperation and Haptic Systems
- Soft Robotics and Applications
- Spinal Fractures and Fixation Techniques
- 3D Shape Modeling and Analysis
- Adhesion, Friction, and Surface Interactions
- Robotic Path Planning Algorithms
- Force Microscopy Techniques and Applications
- Transportation Planning and Optimization
- Advanced Sensor and Control Systems
- Network Security and Intrusion Detection
- Stability and Control of Uncertain Systems
Dongguan University of Technology
2022-2024
Northeastern University
2022-2024
This article mainly investigates the problem of vibration suppression and angle cooperative tracking control a multiple flexible manipulators described by partial differential equations (PDEs) with input quantization, actuator failures, unmodeled system dynamics. An intermediate law is designed, smooth function positive integrable time-varying introduced. Besides, new constructed in to handle influence quantization faults. Under designed controller, angles all can reach consensus through...
Payload capacity is a crucial factor for climbing robots, as it directly affects their ability to carry and transport heavy loads during various tasks. However, many dry adhesion-based legged robots prioritize foot design from bionic perspective accomplish tasks while overlooking payload capacity. To address this issue, novel adhesion structure utilizing micro-suction tape (MST) detachment mechanism has been proposed. This was implemented in the construction experimental testing of...
With the expanding use of Unmanned Aerial Vehicles (UAVs) in a variety applications, their safety has become critical concern. UAVs are confronted with unforeseen circumstances during missions; these instances, need to autonomously locate suitable landing site, plan flight routes, and avoid obstacles unstructured environments. Due limitations computing power sensors, it is challenging attain goal. The aim research study investigate monocular emergency autonomous algorithm. This work...
The development of the Internet Things (IoT) causes most industrial applications to utilize IoT devices improve their productivity. Applications such as smart cities, energy management, homes, cars, and supply chain management widely manage industries' efficiency. Industrial are frequently affected by cybercriminals damage information Criminal activities can be overcome applying various machine-learning techniques. Existing methods process intermediate attacks; however, traditional machine...
This work aims to improve the transmission and sharing efficiency of intelligent transportation data promote further development smart city. In this work, an EEMR (Energy Efficient Multi-hop Routing) is designed for wireless sensor network. algorithm, base station runs IAP clustering algorithm network after receiving information all surviving nodes. A method called ACRR (Adaptive Cluster-head Round Robin) proposed local dynamic election cluster heads. addition, deep learning-based stochastic...
The purpose is to optimize the Beetle Antenna Search (BAS) algorithm and apply it Intelligent Transportation System (ITS) process traffic data in time solve congestion. This work studies development status of ITS application BAS algorithm. It optimizes converge local optimization prematurely high-dimensional space, affecting prediction accuracy. Then, combined with Least Squares Support Vector Machine Algorithm (LSSVM), quadratic interpolation proposed. proposed named Quadratic Interpolation...