Control strategies for soft robotic manipulators: A survey

T George Thuruthel, Y Ansari, E Falotico, C Laschi - Soft robotics, 2018 - liebertpub.com
With the rise of soft robotics technology and applications, there have been increasing
interests in the development of controllers appropriate for their particular design. Being …

A survey for machine learning-based control of continuum robots

X Wang, Y Li, KW Kwok - Frontiers in Robotics and AI, 2021 - frontiersin.org
Soft continuum robots have been accepted as a promising category of biomedical robots,
accredited to the robots' inherent compliance that makes them safely interact with their …

Closed-loop dynamic control of a soft manipulator using deep reinforcement learning

A Centurelli, L Arleo, A Rizzo, S Tolu… - IEEE Robotics and …, 2022 - ieeexplore.ieee.org
The focus of the research community in the soft robotic field has been on develo**
innovative materials, but the design of control strategies applicable to these robotic platforms …

Learning dynamic models for open loop predictive control of soft robotic manipulators

TG Thuruthel, E Falotico, F Renda… - Bioinspiration & …, 2017 - iopscience.iop.org
The soft capabilities of biological appendages like the arms of Octopus vulgaris and
elephants' trunks have inspired roboticists to develop their robotic equivalents. Although …

Learning closed loop kinematic controllers for continuum manipulators in unstructured environments

T George Thuruthel, E Falotico, M Manti, A Pratesi… - Soft robotics, 2017 - liebertpub.com
This article introduces a machine-learning-based approach for closed loop kinematic control
of continuum manipulators in the task space. For this purpose, we propose a unique …

[HTML][HTML] Soft robotics: Morphology and morphology-inspired motion strategy

F Xu, H Wang - IEEE/CAA Journal of Automatica Sinica, 2021 - ieee-jas.net
Robotics has aroused huge attention since the 1950s. Irrespective of the uniqueness that
industrial applications exhibit, conventional rigid robots have displayed noticeable …

Efficient jacobian-based inverse kinematics with sim-to-real transfer of soft robots by learning

G Fang, Y Tian, ZX Yang… - IEEE/ASME …, 2022 - ieeexplore.ieee.org
This article presents an efficient learning-based method to solve the inverse kinematic (IK)
problem on soft robots with highly nonlinear deformation. The major challenge of efficiently …

Model-free motion control of continuum robots based on a zeroing neurodynamic approach

N Tan, P Yu, X Zhang, T Wang - Neural Networks, 2021 - Elsevier
As a result of inherent flexibility and structural compliance, continuum robots have great
potential in practical applications and are attracting more and more attentions. However …

Comparison of modern control methods for soft robots

M Grube, JC Wieck, R Seifried - Sensors, 2022 - mdpi.com
With the rise in new soft robotic applications, the control requirements increase. Therefore,
precise control methods for soft robots are required. However, the dynamic control of soft …

Localized online learning-based control of a soft redundant manipulator under variable loading

JDL Ho, KH Lee, WL Tang, KM Hui, K Althoefer… - Advanced …, 2018 - Taylor & Francis
Soft robots are inherently compliant and manoeuvrable manipulators that can passively
adapt to their environment. However, in order to fully make use of their unique properties …