In this research paper, we present a comprehensive analysis of the current state of soft
robots actuated with pneumatic artificial muscles and emphasise their distinct advantages …

The image-based visual servoing without models of the system is challenging since it is hard
to fetch an accurate estimation of hand-eye relationship via merely visual measurement …

The area of soft robotics has been subject to intense research efforts in the past two decades
and constitutes a paradigm for advanced machine design in future robotic applications …

This work proposes an offline‐cascade‐online (OCO) estimation algorithm, achieving the
distal trajectory estimation in unstructured working space and with long‐term visual …

In helping astronauts perform tasks, soft manipulators offer the advantages of softness,
lightness, low cost, and interaction safety to interact with. However, modeling their inverse …

Given the advantages of softness, lightness, low cost, and interaction safety, inverse
kinematic modeling and control of soft actuators has caused a research boom. However, in …

Featured Application The proposed deep learning method based on multi-control point
derivation of 3D non-rigid transformation uses the gated cyclic unit in CNN-GRU-SA to …

A neural network-based framework is developed and experimentally demonstrated for the
problem of estimating the shape of a soft continuum arm (SCA) from noisy measurements of …

During the 2019 coronavirus disease pandemic, robotic-based systems for swab sampling
were developed to reduce burdens on healthcare workers and their risk of infection …

Soft robots are gaining increasing attention in current robotics research due to their
continuum structure. However, accurately recognizing and reproducing the shape of such …