Pneumatic artificial muscle (PAM), as a key driving component of soft robot, faces the difficulty of high precision control because of its strong nonlinear and hysteresis characteristics. This paper ...

Reservoir computing is a machine learning paradigm that exploits the transient dynamics of high-dimensional nonlinear systems. Although it was originally inspired by the mammalian brain and widely ...

A general-purpose PID controller for the Beam Bots robotics framework. This library provides a BB.Controller implementation that subscribes to configurable topics for setpoint and measurement values, ...

Marc Santos is a Guides Staff Writer from the Philippines with a BA in Communication Arts and over six years of experience in writing gaming news and guides. He plays just about everything, from ...

What is a neural network? A neural network, also known as an artificial neural network, is a type of machine learning that works similarly to how the human brain processes information. Instead of ...

Abstract: Although adaptive control has been widely studied in nonlinear robotic systems, many traditional formulations rely on adaptive laws derived from the gradient algorithm, whose slow ...

Abstract: This research is a research continuation in the PID controller development and modernization field based on neural networks. Through the pseudo-linear component with amplitude suppression ...

With the rapid optimization and evolution of various neural networks, the control problem of robotic arms in the area of automation control has gradually received more attention. The research results ...