A5100761536- Robot Manipulation and Learning
- Human Pose and Action Recognition
- Hand Gesture Recognition Systems
- Industrial Vision Systems and Defect Detection
- Vibration and Dynamic Analysis
- Adaptive Control of Nonlinear Systems
- Robotics and Sensor-Based Localization
- Visual Attention and Saliency Detection
- Smart Grid Energy Management
- Multi-Criteria Decision Making
- Microbial Community Ecology and Physiology
- Stability and Controllability of Differential Equations
- Supply Chain and Inventory Management
- Composite Structure Analysis and Optimization
- Image Processing Techniques and Applications
- Optimization and Mathematical Programming
- Microbial bioremediation and biosurfactants
- Advanced Vision and Imaging
- Cancer Research and Treatments
- Occupational Health and Safety Research
- Manufacturing Process and Optimization
- Fluid Dynamics and Vibration Analysis
- Advanced Neural Network Applications
- Robotic Mechanisms and Dynamics
- Advanced Bandit Algorithms Research
Chang'an University
2022-2024
Nanyang Technological University
2024
China University of Petroleum, Beijing
2022
Jinan University
2022
Shanghai University of Engineering Science
2021
Fresh wet vermicelli is highly susceptible to microbial contamination during storage as a result of its high moisture content and rich nutrients, which leads spoilage deterioration. In addition exerting great impact on the quality product, this results in significant economic losses potential food safety risks. This work aimed identify microorganisms via traditional culturing methods molecular biology techniques. The effects environmental factors such temperature pH growth development...
Aiming at multi-target detection in complex human-robot collaborative assembly scenes, an improved YOLOv7 algorithm is proposed. Specifically, the Wise-Intersection over Union(Wise-IoU) loss function and BiFormer attention module are introduced to improve recognition performance of small parts. Taking a worm-gear decelerator as example, dataset for parts made. By training network self-made dataset, mAP@.5 value increased by 3.25 % average total reduced 0.02365. The experiment results show...
Biosurfactants are a group of surface-active compounds that can be produced by diverse microorganisms. They have been widely used in various industrial fields. Reducing production costs, improving efficiency, and collecting more producing strains become major challenges the biosurfactant industry. These could overcome screening for efficient biosurfactant-producing strains. The conventional methods isolation functional characterization microorganisms laborious biased toward fast-growing or...
As a new assembly model, human-robot collaborative has attracted wide attention due to the diverse requirements of tasks, complex shapes parts, and limited space in current manufacturing industry. In environment products, how recognize human actions become key issue better promote interaction. Firstly, considering safety, efficiency, accuracy environment, we realize skeleton-based action recognition. The channel-wise topology refinement graph convolution network (CTR-GCN) is utilized extract...
The paper aims to address output feedback problem for a class of nonlinear systems subjected unknown dead-zone. High-gain K-filters is firstly designed such that unavailable states system can be reconstructed. Then, with the help dynamic surface control (DSC) method, an adaptive controller design established, which alleviate undesired influence dead-zone and guarantee semi-global stability system. Furthermore, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML"...
With the increasing application of computer vision in robot systems, it is vital to improve positioning accuracy end-effectors. Hand-eye calibration first step realize it. However, process calibration, there are some accidental factors leading inaccurate calibration. In this paper, a data-driven hand-eye approach based on Zhang's method proposed complete eye-in-hand Re-projection error used as an evaluate index error. The data with errors greater than average were filtered reduce caused by...