Stretchable, breathable, and washable fabric sensor for human motion monitoring
L Sanchez‐Botero, A Agrawala… - Advanced Materials …, 2023 - Wiley Online Library
Wearable strain sensors for movement tracking are a promising paradigm to improve clinical
care for patients with neurological or musculoskeletal conditions, with further applicability to …
care for patients with neurological or musculoskeletal conditions, with further applicability to …
Printed Strain Sensors for Motion Recognition: A Review of Materials, Fabrication Methods, and Machine Learning Algorithms
Recent studies in functional nanomaterials with advanced macro, micro, and nano-scale
structures have yielded substantial improvements in human-interfaced strain sensors for …
structures have yielded substantial improvements in human-interfaced strain sensors for …
Efficient jacobian-based inverse kinematics with sim-to-real transfer of soft robots by learning
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 …
problem on soft robots with highly nonlinear deformation. The major challenge of efficiently …
A deep learning framework for soft robots with synthetic data
Data-driven methods with deep neural networks demonstrate promising results for accurate
modeling in soft robots. However, deep neural network models rely on voluminous data in …
modeling in soft robots. However, deep neural network models rely on voluminous data in …
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 …
and constitutes a paradigm for advanced machine design in future robotic applications …
Physics-guided deep learning method for tool condition monitoring in smart machining system
S Li, X Lin, H Shi, Y Shi, K Zhu - IEEE/ASME Transactions on …, 2023 - ieeexplore.ieee.org
Accurate and fast prediction of tool conditions is fundamental to improve the machining
accuracy and consistency in smart machining systems. The current tool condition monitoring …
accuracy and consistency in smart machining systems. The current tool condition monitoring …
Parametric and noise effects on magnetic sensing system for monitoring human-joint motion of lower extremity in sagittal plane
This article presents a three-degree-of-freedom (3-DOF) magnetic sensor, referred to here
as a pantographic exoskeleton (PGE) sensor, for monitoring in real time the internal human …
as a pantographic exoskeleton (PGE) sensor, for monitoring in real time the internal human …
3D upper body reconstruction with sparse soft sensors
Three-dimensional (3D) reconstruction of human body has wide applications, for example,
for customized design of clothes and digital avatar production. Existing vision-based …
for customized design of clothes and digital avatar production. Existing vision-based …
Cross-domain transfer learning and state inference for soft robots via a semi-supervised sequential variational bayes framework
Recently, data-driven models such as deep neural networks have shown to be promising
tools for modelling and state inference in soft robots. However, voluminous amounts of data …
tools for modelling and state inference in soft robots. However, voluminous amounts of data …
From Simulation to Reality: Predicting Torque with Fatigue Onset via Transfer Learning
KM Kearney, TO Diaz, JB Harley… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Muscle fatigue impacts upper extremity function but is often overlooked in biomechanical
models. The present work leveraged a transfer learning approach to improve torque …
models. The present work leveraged a transfer learning approach to improve torque …