A5030163820- Advanced Algorithms and Applications
- Advanced Sensor and Control Systems
- Modular Robots and Swarm Intelligence
- Soft Robotics and Applications
- Advanced Manufacturing and Logistics Optimization
- Industrial Vision Systems and Defect Detection
- Industrial Technology and Control Systems
Fudan University
2023-2024
To predict mechanical equipment failures more accurately, an application based on the PCA-BP algorithm for failure prediction is proposed. After principal component analysis using PCA algorithm, it used as input data of BP neural network model, and then a model established. A large piece in plant research object to compare results method verify reliability fault prediction.
Abstract This paper proposes a novel multi-scenario industrial robot designed to execute various activities, such as sorting, grasping, and transportation. Embracing modular design philosophy, we this with two types of robotic arms, three chassis options, motion systems, enabling the automatic transition among different operational modes work scenarios. Kinematic dynamic models have been developed achieve precise control over movements both accuracy analyzed based on prototype parameters....