Matheus dos Santos Xavier

TL;DR: In this article , the development of soft pneumatic actuators and robots up to the date of publication is summarized and a special emphasis on recent advances such as novel designs, differential simulators, analytical and numerical modeling methods, topology optimization, data-driven modeling and control methods, hardware control boards and nonlinear estimation and control techniques.

TL;DR: In this paper , an unscented Kalman filter (UKF) is used to estimate the velocity state and filter noisy measurements from a pressure sensor and an embedded resistive flex sensor.

TL;DR: In this paper , the authors describe the application and comparison of three nonlinear feedback controllers for low-level control of soft actuators driven by a pressure source and a single high-speed on/off solenoid valve.

TL;DR: In this article , the authors describe a fully coupled, three-dimensional fluid-structure interaction simulation approach, where the pressure and flow dynamics are explicitly solved, to improve the simulation of soft fluidic actuators and enable the modeling of both internal and external fluid flow in underwater applications.

TL;DR: Control via the State Dependent Riccati Equation (SDRE) method appears, then, as a relevant tool for developing control strategies for tracking of different reference trajectories by a mobile robot.