We consider the problem of optimizing a controller for agents whose observation and action
spaces are continuous, ie, where the controller is a multivariate real function f: R n→ R m …

Soft robotics faces challenges in attaining control methods that ensure precision from hard-
to-model actuators and sensors. This study focuses on closed-chain control of a segment of …

Robots with a modular body permit a wide range of physical configurations, which can be
obtained by arranging the composing modules differently. While this freedom makes …

One of the most striking capabilities behind the learning mechanisms of the brain is the
adaptation, through structural and functional plasticity, of its synapses. While synapses have …

This study focuses on the locomotion capability improvement in a tendon-driven soft
quadruped robot through an online adaptive learning approach. Leveraging the inverse …

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---------This article presents the results of controlling a 2-degree-of-freedom (2DOF) robot …