In the contemporary era, novel manufacturing technologies like additive manufacturing (AM)
have revolutionized the different engineering sectors including biomedical, aerospace …

Now more than ever, researchers are rethinking the way robots are designed and controlled—
from the algorithms that govern their actions to the very atomic structure of the materials they …

Dynamical systems provide a comprehensive way to study complex and changing behaviors
across various sciences. Many modern systems are too complicated to analyze directly or …

Dynamic Mode Decomposition (DMD) is a popular data-driven analysis technique used to
decompose complex, nonlinear systems into a set of modes, revealing underlying patterns …

This article presents a Kalman–Koopman linear quadratic regulator (KKLQR) control
approach to robotic systems. In the proposed approach, an optimal Koopman modeling …

Soft robots are challenging to model and control due to their poorly defined kinematics and
nonlinear dynamics. Recently, Koopman operator theory has been shown capable of …

In this letter, we present SoftSling, a soft robot control strategy designed for accurately
throwing objects following circular run-ups. SoftSling draws inspiration from ancient slingers …

Bioinspired soft robotics is an emerging field that aims to develop flexible and adaptive
robots inspired by the movement and capabilities of biological organisms. This review article …

Abstract In Indonesia Science education has not reached a portion that is in accordance with
the needs of science education. Science learning should not only focus on knowledge but …

Koopman operator theory, a data-driven dynamical systems framework, has found
significant success in learning models from complex, real-world data sets, enabling state-of …