[HTML][HTML] Origami fabrication techniques for enhanced fiber reinforced composites: A review

M Kshirsagar, B Kandasubramanian - Hybrid Advances, 2024 - Elsevier
Origami-inspired fiber-reinforced composites exhibit inherent properties that showcase the
extraordinary response of reinforcing fibers to stimuli-induced folding. This paper delves into …

Deep Learning Methods in Soft Robotics: Architectures and Applications

T Čakurda, M Trojanová, P Pomin… - Advanced Intelligent …, 2024 - Wiley Online Library
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 …

An end-to-end dynamic posture perception method for soft actuators based on distributed thin flexible porous piezoresistive sensors

J Shu, J Wang, KCC Cheng, LF Yeung, Z Li, RK Tong - Sensors, 2023 - mdpi.com
This paper proposes a method for accurate 3D posture sensing of the soft actuators, which
could be applied to the closed-loop control of soft robots. To achieve this, the method …

Sensorless Proprioception in Multi-DoF Dielectric Elastomer Soft Robots via System-Level Self-Sensing

J Prechtl, M Baltes, K Flaßkamp… - … /ASME Transactions on …, 2024 - ieeexplore.ieee.org
Proprioception in soft robots remains an ongoing challenge, owing to practical issues such
as tight sensor integration while maintaining mechanical compliance. Soft robots based on …

Drift‐Aware Feature Learning Based on Autoencoder Preprocessing for Soft Sensors

J Wang, J Shu, MM Alam, Z Gao, Z Li… - Advanced Intelligent …, 2024 - Wiley Online Library
In this article, a novel approach is presented for drift‐aware feature learning aimed at
calibrating drift biases in soft sensors for long‐term use. The proposed method leverages an …

[HTML][HTML] Effects of slit edge notches on mechanical properties of 3D-printed PA12 nylon kirigami specimens

J Shu, J Wang, Z Li, K Tong - Polymers, 2023 - mdpi.com
Kirigami structures, a Japanese paper-cutting art form, has been widely adopted in
engineering design, including robotics, biomedicine, energy harvesting, and sensing. This …

Combating sensor drift with an lstm neural network enhanced by autoencoder preprocessing

J Wang, J Shu, Z Li, RKY Tong - 2023 IEEE SENSORS, 2023 - ieeexplore.ieee.org
This paper presents a novel approach to compensate for sensor long-term drift by combining
an autoencoder with a long short-term neural network (LSTM). Specifically, an autoencoder …

Finite element analysis, machine learning, and digital twins for soft robots: state-of-arts and perspectives

L **, X Zhai, W Xue, K Zhang, J Jiang… - Smart Materials and …, 2025 - irep.ntu.ac.uk
The current boom in soft robotics development has spurred extensive research into these
flexible, deformable, and adaptive robotic systems. However, the unique characteristics of …

Communication energy analysis in soft robotic and artificial skin covered structures using modified X-Node WBAN network

MZ Iskandarani - IEEE Access, 2023 - ieeexplore.ieee.org
In this work, effect of using robotic materials on energy consumption is examined and
modelled as a function of path loss coefficient affecting communication paths between …

Nonlinear compensation of stretchable strain sensors with application to proprioceptive sensing of soft robotic arm

VK Naik, PR Fairchild, X Tan - Smart Materials and Structures, 2025 - iopscience.iop.org
With advances in materials and manufacturing techniques, recent years have seen a
number of conductive composite materials that exhibit pronounced strain-dependent …