Controlling soft robotic arms using continual learning

F Piqué, HT Kalidindi, L Fruzzetti… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
Learning-based modeling and control of soft robots is advantageous due to neural network's
ability to capture complex dynamical effects with low computational cost. Continual Learning …

Robust Fractional-Order Control Using a Decoupled Pitch and Roll Actuation Strategy for the I-Support Soft Robot

J Munoz, F Piqué, C A. Monje, E Falotico - Mathematics, 2021 - mdpi.com
Tip control is a current open issue in soft robotics; therefore, it has received a good amount
of attention in recent years. The desirable soft characteristics of these robots turn a well …

Imitation and reinforcement learning to control soft robots: a perspective

MS Nazeer, C Laschi, E Falotico - IOP Conference Series …, 2023 - iopscience.iop.org
It would not be an over-stretch to appraise soft robotics as one of the most sizzling topic in
this era, owing to its unparalleled performance in terms of exhibited deformability, soft …

Dataset in support of the PhD Thesis' Biologically inspired underwater soft robotics: Enhanced force production and disturbance rejection.'

L Micklem - 2024 - eprints.soton.ac.uk
Full dataset for PhD Thesis titled'Biologically Inspired Underwater Soft Robotics: Enhanced
force production and disturbance rejection.'Current publications include: L. Micklem, GD …