Dynamic control of soft robotic manipulators is a challenging field still in its nascent stages.
Modeling is still a major hurdle due to its high dimensional nonlinear dynamic properties …

Rejection of periodic disturbance and/or tracking of periodic reference is of importance in
high-precision control systems. Conventional repetitive control is often used to solve the …

Sampling-based kinodynamic planners, such as rapidly-exploring random trees (RRTs),
pose two fundamental challenges: computing a reliable (pseudo-) metric for the distance …

The current development pathway for medical and non-medical foot health devices faces
challenges. Specifically, medical devices often proceed to clinical testing with limited …

Previous research has shown automated robotic mechanism design to be both deceptive
(prone to local minima) and rife with linkage problems (having highly interdependent …

High feedback gains cannot be used on all robots due to sensor noise, time delays or
interaction with humans. The problem with low feedback gain controlled robots is that the …

In this work, an automatic robotic manipulator control based on visual information for object
tracking is presented. The tracking process employ Recurrent Neural Network and Kalman …

This thesis presents the application of various machine learning techniques for control of soft
robots. Simulation and experimental studies are described that show the feasibility of …

This article presents the development of a human-machine interaction system which sets an
optimization algorithm for collaborative work between a person and a robotic arm, so that the …

La Universidad Tecnológica de Aguascalientes, cuenta con un taller de robótica industrial,
en el cual se imparten asignaturas relacionadas con el manejo de los brazos robóticos …