3 accepted papers
Autonomous dynamical systems (DS) are essential for imitation learning but often face challenges in simultaneously achieving high accuracy, stability guarantees, and resistance to disturbances. To overcome these limitations, this paper proposes a globally stable DS with trajectory attraction and dis
Removing noise is difficult, but adding noise is easy. In this work, we show how to eliminate mean-shift noisy components from PCA by deliberately introducing knockoff mean-shift perturbation. Standard PCA is highly sensitive to shifts in the sample mean: a small fraction of samples from a shifted di…
Flexible needle percutaneous puncture demands precise and efficient path planning to ensure surgical safety and success. However, traditional algorithms often struggle to balance real-time performance and planning quality in high-resolution, complex three-dimensional environments. This paper introdu