Abstract Purpose of Review We review recent advances in algorithmic development and
validation for modeling and control of soft robots leveraging the Koopman operator theory …

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 …

This review provides a comprehensive analysis of recent advancements in the development
and applications of robotic fingers. The review focuses on four critical components …

Koopman operator theory offers a rigorous treatment of dynamics and has been emerging
as a powerful modeling and learning-based control method enabling significant …

Soft robotics hold promise in the development of safe yet powered assistive wearable
devices for infants. Key to this is the development of closed-loop controllers that can help …

Pneumatic systems are common in manufacturing, healthcare, transportation, robotics, and
many other fields. Failures in these systems can have very serious consequences …

In this paper, we propose a novel data-driven approach for learning and control of quadrotor
UAVs based on the Koopman operator and extended dynamic mode decomposition …

In recent years, a variety of pneumatic soft actuators (PSAs) have been proposed due to the
development of soft robots in biomimetic robots, medical devices, etc. At the same time, the …

Pneumatic control systems are common in manufacturing, healthcare, transportation,
robotics, and many other fields. Undetected failures in pneumatic systems can have serious …

This research presents a comprehensive study on the design and implementation of a
flexible robotic gripper. Conventional grippers utilized in articulated robotic arms are often …