Review of machine learning methods in soft robotics

D Kim, SH Kim, T Kim, BB Kang, M Lee, W Park, S Ku… - Plos one, 2021 - journals.plos.org
Soft robots have been extensively researched due to their flexible, deformable, and adaptive
characteristics. However, compared to rigid robots, soft robots have issues in modeling …

Review of robot skin: A potential enabler for safe collaboration, immersive teleoperation, and affective interaction of future collaborative robots

G Pang, G Yang, Z Pang - IEEE Transactions on Medical …, 2021 - ieeexplore.ieee.org
The emerging applications of collaborative robots (cobots) are spilling out from product
manufactories to service industries for human care, such as patient care for combating the …

[HTML][HTML] Gaussian process regression for forward and inverse kinematics of a soft robotic arm

C Relaño, J Muñoz, CA Monje - Engineering Applications of Artificial …, 2023 - Elsevier
The use of soft robotics to perform tasks and interact with the environment requires good
system identification. Data-driven methods offer a promising alternative where traditional …

Machine-learned wearable sensors for real-time hand-motion recognition: toward practical applications

KR Pyun, K Kwon, MJ Yoo, KK Kim… - National science …, 2024 - academic.oup.com
Soft electromechanical sensors have led to a new paradigm of electronic devices for novel
motion-based wearable applications in our daily lives. However, the vast amount of random …

Distributed sensing along fibers for smart clothing

BC Hannigan, TJ Cuthbert, C Ahmadizadeh… - Science …, 2024 - science.org
Textile sensors transform our everyday clothing into a means to track movement and
biosignals in a completely unobtrusive way. One major hindrance to the adoption of “smart” …

Probabilistic modeling and Bayesian filtering for improved state estimation for soft robots

DW Kim, M Park, YL Park - IEEE Transactions on Robotics, 2021 - ieeexplore.ieee.org
State estimation is one of the key requirements in robot control, which has been achieved by
kinematic and dynamic models combined with motion sensors in traditional robotics …

Single-input single-output multi-touch soft sensor systems using band-pass filters

J Kim, S Kim, YL Park - npj Flexible Electronics, 2022 - nature.com
In many soft sensor systems, external wires for connecting the sensors to control circuits
have posed practical problems, in terms of compact form factors and physical robustness …

A shortcut enhanced LSTM-GCN network for multi-sensor based human motion tracking

X Li, C Ye, B Huang, Z Zhou, Y Su… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multi-sensor based motion tracking is of great interest to the robotics community as it may
lessen the need for expensive optical motion capture equipment. However, the traditional …

Predicting grasp success with a soft sensing skin and shape-memory actuated gripper

J Zimmer, T Hellebrekers, T Asfour… - 2019 IEEE/RSJ …, 2019 - ieeexplore.ieee.org
Tactile sensors have been increasingly used to support rigid robot grippers in object
gras** and manipulation. However, rigid grippers are often limited in their ability to handle …

A review in on-body compression using soft actuators and sensors: Applications, mechanisms, and challenges

A Golgouneh, LE Dunne - IEEE Reviews in Biomedical …, 2022 - ieeexplore.ieee.org
Body compression through a garment or inflatable pneumatic mechanism has various
applications in aesthetic, athletic, robotics, haptics, astronautics, and especially medical …