3 accepted papers
Three-dimensional (3D) measurement is essential for quality control in manufacturing, especially for components with complex geometries. Conventional viewpoint planning methods based on fixed spherical coordinates often fail to capture intricate surfaces, leading to suboptimal reconstructions. To ad
Learning representation of the enclosing subgraph of node pairs is recognized as an efficient approach for link-oriented prediction tasks in network applications. The core challenge within this subgraph encoding approach is how to effectively distinguish and then properly aggregate the contribution
This paper proposes a Parallel Fuzzy Nonlinear Active Disturbance Rejection Control (FNLADRC) strategy to improve the precision and robustness of robotic manipulators in machining large, complex components. By decoupling the multi-degree-of-freedom dynamics and integrating Nonlinear ADRC with fuzzy